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Virginia Tech
1.
Meyur, Rounak.
Cascading Events in the Aftermath of a Targeted Physical Attack on the Power Grid.
Degree: MS, Electrical Engineering, 2019, Virginia Tech
URL: http://hdl.handle.net/10919/88795 
► The modern day power system has been identified as a critical infrastructure providing crucial support to the economy of a country. Prior experience has shown…
(more)
▼ The modern day power system has been identified as a critical infrastructure providing
crucial support to the economy of a country. Prior experience has shown that a small failure
of a component in the power grid can lead to widespread
cascading events and eventually
result in a blackout. Such
failures can be triggered by devastating damage due to a natural
calamity or because of a targeted adversarial attack on certain points in the power system.
Given limited budget to avoid widespread
cascading failures in the network, an important
problem would be to identify critical components in the power system. In this research
an attempt has been made to replicate the actual power system conditions as accurately
as possible to study the impact of a targeted adversarial attack on different points in the
network. Three heuristics have been proposed to identify critical nodes in the network
and their performance has been discussed. The case studies of
cascading events have been
performed on a synthetic power system network of Washington DC to achieve the actual
system conditions of an operating power grid.
Advisors/Committee Members: Centeno, Virgilio A. (committeechair), Kekatos, Vassilis (committee member), Marathe, Madhav V. (committee member).
Subjects/Keywords: Cascading failures; targeted attack; hidden failures
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APA (6th Edition):
Meyur, R. (2019). Cascading Events in the Aftermath of a Targeted Physical Attack on the Power Grid. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/88795
Chicago Manual of Style (16th Edition):
Meyur, Rounak. “Cascading Events in the Aftermath of a Targeted Physical Attack on the Power Grid.” 2019. Masters Thesis, Virginia Tech. Accessed January 15, 2021.
http://hdl.handle.net/10919/88795.
MLA Handbook (7th Edition):
Meyur, Rounak. “Cascading Events in the Aftermath of a Targeted Physical Attack on the Power Grid.” 2019. Web. 15 Jan 2021.
Vancouver:
Meyur R. Cascading Events in the Aftermath of a Targeted Physical Attack on the Power Grid. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/10919/88795.
Council of Science Editors:
Meyur R. Cascading Events in the Aftermath of a Targeted Physical Attack on the Power Grid. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/88795
Penn State University
2.
Holbert, Brett David.
Network Topology Inference with Partial Path Information and Probabilistic Cascading Failures through Interdependent Networks.
Degree: 2014, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/22936
► Network operation and management are reliant upon accurate knowledge of the network topology. In order to carry out these network management tasks the topology must…
(more)
▼ Network operation and management are reliant upon accurate knowledge of the network topology. In order to carry out these network management tasks the topology must first be obtained, often using probing. However, full knowledge of the topology may neither be known nor easily obtainable due to heterogeneous ownership and configuration of the routers. In these cases, the network must be inferred. We consider two topics highly related to these problems; network inference required to obtain the topology when it is unknown and modeling
cascading failures in interdependent networks as a network operation with full knowledge of the topology.
In this thesis we first present iTop, an algorithm for topology inference when complete information about a network's topology is not available. We describe how the iTop algorithm processes the partial information that is obtainable to detect the presence of missing network components and then resolve them towards an inferred topology by identifying links which may be the same. Lastly, we show that iTop outperforms pre-existing network inference algorithms both in terms of the metrics of the inferred networks as well as the suitability of the inferred networks for use with a fault diagnosis algorithm.
We further investigate the
subject of network
failures by proposing a probabilistic model to estimate the spread of
cascading failures through an interdependent network. We use this model to calculate the estimated network outages over time for a variety of interdependent network structures. These estimations are compared to simulations of
failures over the same networks in order to show that the model accurately predicts the cascade with only a small margin of error. Based on the patterns of failure for the different interdependent network structures we provide insight as to how the cascade spreads through different topologies.
Advisors/Committee Members: Thomas La Porta, Thesis Advisor/Co-Advisor.
Subjects/Keywords: topology inference; cascading failures; fault propagation
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APA (6th Edition):
Holbert, B. D. (2014). Network Topology Inference with Partial Path Information and Probabilistic Cascading Failures through Interdependent Networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/22936
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Holbert, Brett David. “Network Topology Inference with Partial Path Information and Probabilistic Cascading Failures through Interdependent Networks.” 2014. Thesis, Penn State University. Accessed January 15, 2021.
https://submit-etda.libraries.psu.edu/catalog/22936.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Holbert, Brett David. “Network Topology Inference with Partial Path Information and Probabilistic Cascading Failures through Interdependent Networks.” 2014. Web. 15 Jan 2021.
Vancouver:
Holbert BD. Network Topology Inference with Partial Path Information and Probabilistic Cascading Failures through Interdependent Networks. [Internet] [Thesis]. Penn State University; 2014. [cited 2021 Jan 15].
Available from: https://submit-etda.libraries.psu.edu/catalog/22936.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Holbert BD. Network Topology Inference with Partial Path Information and Probabilistic Cascading Failures through Interdependent Networks. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/22936
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
3.
Athari, Mir Hadi.
Modeling Cascading Failures in Power Systems in the Presence of Uncertain Wind Generation.
Degree: PhD, Electrical & Computer Engineering, 2019, Virginia Commonwealth University
URL: https://doi.org/10.25772/MDD8-C566
;
https://scholarscompass.vcu.edu/etd/5936
► One of the biggest threats to the power systems as critical infrastructures is large-scale blackouts resulting from cascading failures (CF) in the grid. The…
(more)
▼ One of the biggest threats to the power systems as critical infrastructures is large-scale blackouts resulting from
cascading failures (CF) in the grid. The ongoing shift in energy portfolio due to ever-increasing penetration of renewable energy sources (RES) may drive the electric grid closer to its operational limits and introduce a large amount of uncertainty coming from their stochastic nature. One worrisome change is the increase in CFs.
The CF simulation models in the literature do not allow consideration of RES penetration in studying the grid vulnerability. In this dissertation, we have developed tools and models to evaluate the impact of RE penetration on grid vulnerability to CF. We modeled uncertainty injected from different sources by analyzing actual high-resolution data from North American utilities. Next, we proposed two CF simulation models based on simplified DC power flow and full AC power flow to investigate system behavior under different operating conditions. Simulations show a dramatic improvement in the line flow uncertainty estimation based on the proposed model compared to the simplified DC OPF model. Furthermore, realistic assumptions on the integration of RE resources have been made to enhance our simulation technique. The proposed model is benchmarked against the historical blackout data and widely used models in the literature showing similar statistical patterns of blackout size.
Advisors/Committee Members: Zhifang Wang.
Subjects/Keywords: Cascading Failures; Renewable Energy Resources; Uncertainty; Unscented Transform; Power Flow Problem; Power and Energy
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APA (6th Edition):
Athari, M. H. (2019). Modeling Cascading Failures in Power Systems in the Presence of Uncertain Wind Generation. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://doi.org/10.25772/MDD8-C566 ; https://scholarscompass.vcu.edu/etd/5936
Chicago Manual of Style (16th Edition):
Athari, Mir Hadi. “Modeling Cascading Failures in Power Systems in the Presence of Uncertain Wind Generation.” 2019. Doctoral Dissertation, Virginia Commonwealth University. Accessed January 15, 2021.
https://doi.org/10.25772/MDD8-C566 ; https://scholarscompass.vcu.edu/etd/5936.
MLA Handbook (7th Edition):
Athari, Mir Hadi. “Modeling Cascading Failures in Power Systems in the Presence of Uncertain Wind Generation.” 2019. Web. 15 Jan 2021.
Vancouver:
Athari MH. Modeling Cascading Failures in Power Systems in the Presence of Uncertain Wind Generation. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2019. [cited 2021 Jan 15].
Available from: https://doi.org/10.25772/MDD8-C566 ; https://scholarscompass.vcu.edu/etd/5936.
Council of Science Editors:
Athari MH. Modeling Cascading Failures in Power Systems in the Presence of Uncertain Wind Generation. [Doctoral Dissertation]. Virginia Commonwealth University; 2019. Available from: https://doi.org/10.25772/MDD8-C566 ; https://scholarscompass.vcu.edu/etd/5936
Boston University
4.
Panduranga, Nagendra Kumar.
Statistical physics of cascading failures in complex networks.
Degree: PhD, Physics, 2017, Boston University
URL: http://hdl.handle.net/2144/27381
► Systems such as the power grid, world wide web (WWW), and internet are categorized as complex systems because of the presence of a large number…
(more)
▼ Systems such as the power grid, world wide web (WWW), and internet are categorized as complex systems because of the presence of a large number of interacting elements. For example, the WWW is estimated to have a billion webpages and understanding the dynamics of such a large number of individual agents (whose individual interactions might not be fully known) is a challenging task. Complex network representations of these systems have proved to be of great utility. Statistical physics is the study of emergence of macroscopic properties of systems from the characteristics of the interactions between individual molecules. Hence, statistical physics of complex networks has been an effective approach to study these systems. In this dissertation, I have used statistical physics to study two distinct phenomena in complex systems: i) Cascading failures and ii) Shortest paths in complex networks.
Understanding cascading failures is considered to be one of the “holy grails“ in the study of complex systems such as the power grid, transportation networks, and economic systems. Studying failures of these systems as percolation on complex networks has proved to be insightful. Previously, cascading failures have been studied extensively using two different models: k-core percolation and interdependent networks. The first part of this work combines the two models into a general model, solves it analytically, and validates the theoretical predictions through extensive computer simulations. The phase diagram of the percolation transition has been systematically studied as one varies the average local k-core threshold and the coupling between networks. The phase diagram of the combined processes is very rich and includes novel features that do not appear in the models which study each of the processes separately. For example, the phase diagram consists of first- and second-order transition regions separated by two tricritical lines that merge together and enclose a two-stage transition region. In the two-stage transition, the size of the giant component undergoes a first-order jump at a certain occupation probability followed by a continuous second-order transition at a smaller occupation probability. Furthermore, at certain fixed interdependencies, the percolation transition cycles from first-order to second-order to two-stage to first-order as the k-core threshold is increased. We setup the analytical equations describing the phase boundaries of the two-stage transition region and we derive the critical exponents for each type of transition.
Understanding the shortest paths between individual elements in systems like communication networks and social media networks is important in the study of information cascades in these systems. Often, large heterogeneity can be present in the connections between nodes in these networks. Certain sets of nodes can be more highly connected among themselves than with the nodes from other sets. These sets of nodes are often referred to as ’communities’. The second part of this work studies the…
Subjects/Keywords: Physics; Cascading failures; Complex networks; Interdependent networks; k-Core percolation; Percolation theory
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APA (6th Edition):
Panduranga, N. K. (2017). Statistical physics of cascading failures in complex networks. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/27381
Chicago Manual of Style (16th Edition):
Panduranga, Nagendra Kumar. “Statistical physics of cascading failures in complex networks.” 2017. Doctoral Dissertation, Boston University. Accessed January 15, 2021.
http://hdl.handle.net/2144/27381.
MLA Handbook (7th Edition):
Panduranga, Nagendra Kumar. “Statistical physics of cascading failures in complex networks.” 2017. Web. 15 Jan 2021.
Vancouver:
Panduranga NK. Statistical physics of cascading failures in complex networks. [Internet] [Doctoral dissertation]. Boston University; 2017. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/2144/27381.
Council of Science Editors:
Panduranga NK. Statistical physics of cascading failures in complex networks. [Doctoral Dissertation]. Boston University; 2017. Available from: http://hdl.handle.net/2144/27381
5.
Poudel, Shiva.
Cascading Failures and Contingency Analysis for Smart Grid Security.
Degree: MS, Electrical Engineering and Computer Science, 2016, South Dakota State University
URL: https://openprairie.sdstate.edu/etd/1043
► The modern electric power grid has become highly integrated in order to increase the reliability of power transmission from the generating units to end…
(more)
▼ The modern electric power grid has become highly integrated in order to increase the reliability of power transmission from the generating units to end consumers. In addition, today’s power system are facing a rising appeal for the upgrade to a highly intelligent generation of electricity networks commonly known as Smart Grid. However, the growing integration of power system with communication network also brings increasing challenges to the security of modern power grid from both physical and cyber space. Malicious attackers can take advantage of the increased access to the monitoring and control of the system and exploit some of the inherent structural vulnerability of power grids. Therefore, determining the most vulnerable components (e.g., buses or generators or transmission lines) is critically important for power grid defense. This dissertation introduces three different approaches to enhance the security of the smart grid. Motivated by the security challenges of the smart grid, the first goal of this thesis is to facilitate the understanding of
cascading failure and blackouts triggered by multi-component attacks, and to support the decision making in the protection of a reliable and secure smart grid. In this work, a new definition of load is proposed by taking power flow into consideration in comparison with the load definition based on degree or network connectivity. Unsupervised learning techniques (e.g., K-means algorithm and self-organizing map (SOM)) are introduced to find the vulnerable nodes and performance comparison is done with traditional load based attack strategy. Second, an electrical distance approach is introduced to find the vulnerable branches during contingencies. A new network structure different than the original topological structure is formed based on impedance matrix which is referred as electrical structure. This structure is pruned to make it size compatible with the topological structure and the common branches between the two different structures are observed during contingency analysis experiments. Simulation results for single and multiple contingencies have been reported and the violation of line limits during single and multiple outages are observed for vulnerability analysis. Finally, a cyber-physical power system (CPS) testbed is introduced as an accurate cyber-physical environment in order to observe the system behavior during malicious attacks and different disturbance scenarios. The application areas and architecture of proposed CPS testbed have been discussed in details. The testbed’s efficacy is then evaluated by conducting real-time cyber attacks and exploring the impact in a physical system. The possible mitigation strategies are suggested for defense against the attack and protect the system from being unstable.
Advisors/Committee Members: Zhen Ni.
Subjects/Keywords: blackouts; cascading failures; contingency analysis; cyber-physical system; smart grid security; Electrical and Computer Engineering
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APA (6th Edition):
Poudel, S. (2016). Cascading Failures and Contingency Analysis for Smart Grid Security. (Masters Thesis). South Dakota State University. Retrieved from https://openprairie.sdstate.edu/etd/1043
Chicago Manual of Style (16th Edition):
Poudel, Shiva. “Cascading Failures and Contingency Analysis for Smart Grid Security.” 2016. Masters Thesis, South Dakota State University. Accessed January 15, 2021.
https://openprairie.sdstate.edu/etd/1043.
MLA Handbook (7th Edition):
Poudel, Shiva. “Cascading Failures and Contingency Analysis for Smart Grid Security.” 2016. Web. 15 Jan 2021.
Vancouver:
Poudel S. Cascading Failures and Contingency Analysis for Smart Grid Security. [Internet] [Masters thesis]. South Dakota State University; 2016. [cited 2021 Jan 15].
Available from: https://openprairie.sdstate.edu/etd/1043.
Council of Science Editors:
Poudel S. Cascading Failures and Contingency Analysis for Smart Grid Security. [Masters Thesis]. South Dakota State University; 2016. Available from: https://openprairie.sdstate.edu/etd/1043
Texas A&M University
6.
Abdullah, Ahmad Muhammad.
A New Solution for Improving Transmission Line Distance Protection Security During System-Wide Cascading Failures.
Degree: PhD, Electrical Engineering, 2018, Texas A&M University
URL: http://hdl.handle.net/1969.1/173579
► Protection misoperation is responsible for a large portion of all cascading failures. These cascading failures can lead to blackouts that have tremendous social impacts. This…
(more)
▼ Protection misoperation is responsible for a large portion of all
cascading failures. These
cascading failures can lead to blackouts that have tremendous social impacts. This dissertation proposes a new method that uses local distance relay instantaneous three-phase currents to enhance the security of distance protection of transmission lines during wide-area
cascading events. The method incorporates advanced signal processing techniques and pattern recognition approaches to prevent zone 3 distance protection misoperation.
Prevention of misoperation is done through three major stages. The first stage is fault detection. In this first stage, the proposed method merely recognizes that a fault exists somewhere in the transmission system. The second stage determines whether this fault is within the distance relay’s protective reach. The last stage detects whether this fault has been cleared. If the second stage determines that the fault is outside the zone 3 reach of the relay, a blocking signal will be sent to the relay to prevent operation even if the impedance falls within the operating characteristics of the relay. Alternatively, if the second stage determines that the fault is indeed within zone 3 protection reach of the relay, a permissive trip signal will be sent to the relay only if the third stage determines that the fault has not been cleared yet.
The first and second stages use three different k-nearest neighbor classifiers that are trained using level 3 detail coefficients of discrete wavelet transform of the aerial mode currents. The third stage uses the current fundamental to detect fault clearing.
Several wide area
cascading scenarios were simulated, and various performance metrics were analyzed to study the effectiveness of the proposed methodology.
Advisors/Committee Members: Butler-Purry, Karen (advisor), Ward, Joseph (committee member), Ehsani, Mehrdad (committee member), Kumar, Panganamala (committee member), El-Halwagi, Mahmoud (committee member).
Subjects/Keywords: distance relaying; machine learning; pattern recognition; zone 3 protection; wide area cascading failures; blackouts; faults; lightning
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APA (6th Edition):
Abdullah, A. M. (2018). A New Solution for Improving Transmission Line Distance Protection Security During System-Wide Cascading Failures. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173579
Chicago Manual of Style (16th Edition):
Abdullah, Ahmad Muhammad. “A New Solution for Improving Transmission Line Distance Protection Security During System-Wide Cascading Failures.” 2018. Doctoral Dissertation, Texas A&M University. Accessed January 15, 2021.
http://hdl.handle.net/1969.1/173579.
MLA Handbook (7th Edition):
Abdullah, Ahmad Muhammad. “A New Solution for Improving Transmission Line Distance Protection Security During System-Wide Cascading Failures.” 2018. Web. 15 Jan 2021.
Vancouver:
Abdullah AM. A New Solution for Improving Transmission Line Distance Protection Security During System-Wide Cascading Failures. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/1969.1/173579.
Council of Science Editors:
Abdullah AM. A New Solution for Improving Transmission Line Distance Protection Security During System-Wide Cascading Failures. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173579
Penn State University
7.
Zad Tootaghaj, Diman.
MODELING, MONITORING AND SCHEDULING TECHNIQUES FOR NETWORK RECOVERY FROM MASSIVE FAILURES.
Degree: 2018, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/15485dxz149
► This dissertation explores modeling, monitoring and scheduling techniques for network recovery from massive failures, with a focus on optimization methods under uncertain knowledge of failures.…
(more)
▼ This dissertation explores modeling, monitoring and scheduling techniques for network recovery from massive
failures, with a focus on optimization methods under uncertain knowledge of
failures.
Large-scale
failures in communication networks due to natural disasters or malicious attacks can severely affect critical communications and threaten lives of people in the affected area. In 2005, Hurricane Katrina led to outage of over 2.5 million lines in the BellSouth (now AT&T) network. In the absence of a proper communication infrastructure, rescue operation becomes extremely difficult. Progressive and timely network recovery is, therefore, a key to minimizing losses and facilitating rescue missions.
Many prior works on failure detection and recovery assume full knowledge of
failures and use a deterministic approach for the recovery phase. In real-world scenarios, however, the failure pattern might be unknown or only partially known. Therefore, classic recovery approaches may not work. To this end, I focus on network recovery assuming partial and uncertain knowledge of the failure locations.
I first studied large-scale
failures in a communication network. In particular, I proposed a new recovery approach under uncertain knowledge of
failures. I proposed a progressive multi-stage recovery approach that uses the incomplete knowledge of failure to find a feasible recovery schedule. From the elements of this solution, I selected a node with highest centrality at each iteration step to repair and exploit as a monitor to increase the knowledge of network state, until all critical services are restored. The recovery problem can be addressed by giving different priority to three performance aspects including: 1) Demand loss, 2) computation time and 3) number of repairs (or repair cost). These aspects are in conflict with each other and I studied the trade-off among them.
Next, I focused on failure recovery of multiple interconnected networks. In particular, I focused on the interaction between a power grid and a communication network. I modeled the
cascading failures in a power gird using a DC power flow model. I tackled the problem of mitigating an ongoing cascade by formulating the minimum cost flow assignment problem as a linear programming optimization. The optimization aimed at finding a minimum cost DC power flow setting that stops the
cascading failure, where the total cost is defined as the total weighted amount of unsatisfied load due to the re-distribution of the power in the generators and loads without violating the overload constraint at each line.
Then, I focused on network monitoring techniques that can be used for diagnosing the performance of individual links for localizing soft
failures (e.g. highly congested links) in a communication network. I studied the optimal selection of the monitoring paths to balance identifiability and probing cost. I considered four closely related optimization problems: (1) Max-IL-Cost that maximizes the number of identifiable links under a probing budget, (2) Max-Rank-Cost…
Advisors/Committee Members: Thomas F Laporta, Dissertation Advisor/Co-Advisor, Thomas F Laporta, Committee Chair/Co-Chair, Ting He, Committee Member, Nilanjan Ray Chaudhuri, Committee Member, Marek Flaska, Outside Member.
Subjects/Keywords: Network Recovery; Massive Disruption; Stochastic Optimization; Uncertainty; Network Recovery Massive Disruption; Uncertainty.; Cascading Failures; Interdependent Networks; Power Grid; Software-Defined Networking
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APA ·
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APA (6th Edition):
Zad Tootaghaj, D. (2018). MODELING, MONITORING AND SCHEDULING TECHNIQUES FOR NETWORK RECOVERY FROM MASSIVE FAILURES. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15485dxz149
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Zad Tootaghaj, Diman. “MODELING, MONITORING AND SCHEDULING TECHNIQUES FOR NETWORK RECOVERY FROM MASSIVE FAILURES.” 2018. Thesis, Penn State University. Accessed January 15, 2021.
https://submit-etda.libraries.psu.edu/catalog/15485dxz149.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Zad Tootaghaj, Diman. “MODELING, MONITORING AND SCHEDULING TECHNIQUES FOR NETWORK RECOVERY FROM MASSIVE FAILURES.” 2018. Web. 15 Jan 2021.
Vancouver:
Zad Tootaghaj D. MODELING, MONITORING AND SCHEDULING TECHNIQUES FOR NETWORK RECOVERY FROM MASSIVE FAILURES. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 Jan 15].
Available from: https://submit-etda.libraries.psu.edu/catalog/15485dxz149.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Zad Tootaghaj D. MODELING, MONITORING AND SCHEDULING TECHNIQUES FOR NETWORK RECOVERY FROM MASSIVE FAILURES. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15485dxz149
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
8.
Song, Jiajia.
Dynamic modeling and mitigation of cascading failure in power systems.
Degree: PhD, Electrical and Computer Engineering, 2015, Oregon State University
URL: http://hdl.handle.net/1957/55426
► Recent blackout events consistently show that a variety of mechanisms are involved in cascading outages. These cascading mechanisms are irregularly modeled and validated within the…
(more)
▼ Recent blackout events consistently show that a variety of mechanisms are involved in
cascading outages. These
cascading mechanisms are irregularly modeled and validated within the existing literature and industry practices. Understanding the relative significance of these different mechanisms is important for choosing which one(s) needs to be modeled for specific applications. In this work, a
cascading failure simulation model that captures fundamental dynamics of power networks and protection systems was developed in order to evaluate the usefulness of dynamic models for
cascading outages. The results from a batch of N-2 contingency simulations revealed that the distributions of blackout sizes and event lengths from the proposed simulator correlate well with historical trends. In addition, the proposed model was compared against a quasi-steady state (QSS) model, and it was found that a wide set of dynamic
cascading mechanisms are critical in the definition of later stages of the cascades. However, the early stages of cascades showed similar paths independently of the relative number of mechanisms implemented.
This work also proposes a novel emergency control algorithm in the context of dynamic
cascading outage simulations. It is a centralized, optimization-based control scheme that utilizes a dc power flow approximation to quickly provide load and generation adjustments when the system condition is compromised. Dynamic simulation results showed that
cascading risk is considerably reduced with the assistance of successful emergency control actions. Lastly, several other significant elements in dynamic power system modeling were addressed in this study (for example, dynamic load models). They further demonstrate one of the advantages of using our proposed power system simulator: in-depth access to the model components within the simulator package, which is not feasible in commercial softwares.
Advisors/Committee Members: Cotilla-Sanchez, J. Eduardo (advisor), von Jouanne, Annette (committee member).
Subjects/Keywords: cascading outage; Electric power failures – Computer simulation
…sequence of cascading failures varies widely from event to event, and whether
they have… …additional set
of discrete equations to dynamically model cascading failures.
8
Table 1.2: The… …Cascading Outages . . . . . . . . . . . .
2
1.2 Previous Methodologies of Cascading Outage… …2 Dynamic Power System Data
11
3 Development of a Dynamic Cascading Outage Simulator
16… …3.5.2 Protection Relay Realization . . . . . . . . . . . . .
3.5.3 Cascading Examples using…
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APA (6th Edition):
Song, J. (2015). Dynamic modeling and mitigation of cascading failure in power systems. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/55426
Chicago Manual of Style (16th Edition):
Song, Jiajia. “Dynamic modeling and mitigation of cascading failure in power systems.” 2015. Doctoral Dissertation, Oregon State University. Accessed January 15, 2021.
http://hdl.handle.net/1957/55426.
MLA Handbook (7th Edition):
Song, Jiajia. “Dynamic modeling and mitigation of cascading failure in power systems.” 2015. Web. 15 Jan 2021.
Vancouver:
Song J. Dynamic modeling and mitigation of cascading failure in power systems. [Internet] [Doctoral dissertation]. Oregon State University; 2015. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/1957/55426.
Council of Science Editors:
Song J. Dynamic modeling and mitigation of cascading failure in power systems. [Doctoral Dissertation]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/55426
University of South Florida
9.
Nakarmi, Upama.
Reliability Analysis of Power Grids and its Interdependent Infrastructures: An Interaction Graph-based Approach.
Degree: 2020, University of South Florida
URL: https://scholarcommons.usf.edu/etd/8268
► Large blackouts with significant societal and economic impacts result from cascade of failures in the transmission network of power grids. Understanding and mitigating cascading failures…
(more)
▼ Large blackouts with significant societal and economic impacts result from cascade of failures in the transmission network of power grids. Understanding and mitigating cascading failures in power grids is challenging due to the large number of components and their complex interactions, wherein, in addition to the physical topology of the system, the physics of power flow and functional dependencies among components largely affect the spatial distribution and propagation of failures. In this dissertation, data-driven interaction graphs, which help in capturing the underlying interactions and influences among the components during cascading failures, are used for capturing the non-local nature of propagation of failures as well as for simplifying the modeling and analysis of cascades. Particularly, influence and correlation graphs are constructed for revealing and comparing various types of interactions/influences during cascades.
In addition, as a step towards analyzing cascades, community structures in the interaction graphs, which bear critical information about cascade processes and the role of system components during cascades are identified. The key idea behind using community structures for analyzing cascades is that a cascade entering a community is likely to reach to most of the other members of the same community while less likely to reach to other communities. Thus, community structures significantly impact cascade behavior by trapping failures within communities. Further, a centrality measure based on the community structures is proposed to identify critical components of the system, which their protection can help in containing failures within a community and prevent the propagation of failures to large sections of the power grid. Various criticality evaluation techniques, including data-driven, epidemic simulation-based, power system simulation-based and graph-based, have been used to verify the importance of the identified critical components in the cascade process and compare them with those identified by traditional centrality measures. Moreover, it has been shown that the loading level of the power grid impacts the interaction graph and consequently, the community structure and criticality of the components in the cascade process.
Furthermore, a Markov chain model is designed based on the community structures embedded in the data-driven interaction graphs of power grids. This model exploits the properties of community structures in interactions to enable the probabilistic analysis of cascade sizes in power grids. The trapping property of communities is extensively used to show that the probability distribution of cascade sizes exhibit power-law behavior as observed in previous studies and historical data.
Finally, an integrated framework based on the influence model, a networked Markov chain framework, is proposed for modeling the integrated power grid and transportation infrastructures, through one source of their interdependency i.e., electric-vehicle (EV) charging stations. The interactions based…
Subjects/Keywords: Cascading Failures; Community Structures; Critical Components; Cascade Size; Electric Vehicle Charging Infrastructure; Computer Engineering; Computer Sciences; Electrical and Computer Engineering
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APA (6th Edition):
Nakarmi, U. (2020). Reliability Analysis of Power Grids and its Interdependent Infrastructures: An Interaction Graph-based Approach. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/8268
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Nakarmi, Upama. “Reliability Analysis of Power Grids and its Interdependent Infrastructures: An Interaction Graph-based Approach.” 2020. Thesis, University of South Florida. Accessed January 15, 2021.
https://scholarcommons.usf.edu/etd/8268.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Nakarmi, Upama. “Reliability Analysis of Power Grids and its Interdependent Infrastructures: An Interaction Graph-based Approach.” 2020. Web. 15 Jan 2021.
Vancouver:
Nakarmi U. Reliability Analysis of Power Grids and its Interdependent Infrastructures: An Interaction Graph-based Approach. [Internet] [Thesis]. University of South Florida; 2020. [cited 2021 Jan 15].
Available from: https://scholarcommons.usf.edu/etd/8268.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Nakarmi U. Reliability Analysis of Power Grids and its Interdependent Infrastructures: An Interaction Graph-based Approach. [Thesis]. University of South Florida; 2020. Available from: https://scholarcommons.usf.edu/etd/8268
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Rice University
10.
Hernandez-Fajardo, Isaac.
Probabilistic Fragility of Interdependent Urban Systems Subjected to Seismic Hazards.
Degree: PhD, Engineering, 2012, Rice University
URL: http://hdl.handle.net/1911/70260
► Urban service networks have come under increased pressure due to expansion of urban population, decrease of capital investment, growing interdependence, and man-made and natural hazards.…
(more)
▼ Urban service networks have come under increased pressure due to expansion of urban population, decrease of capital investment, growing interdependence, and man-made and natural hazards. This thesis introduces a simulation-based methodology for the estimation of the fragility of urban networks subjected to earthquake perturbation. The proposed Interdependent Fragility Assessment (IFA) algorithm abstracts the steps required for perturbation-induced damage propagation within and between networks through internal and interdependent links, respectively. Damage propagation uncertainty is accounted by considering conditional probabilities of failure for components and interdependent strengths measuring the likelihood of intersystemic failure propagation. The IFA algorithm is used in four applications. The first application subjected two simplified models of real interdependent urban power and water networks to selected seismic scenarios. Test results showed that interdependence presence worsens systemic fragility, but that the features of interdependence effects were jointly influenced by local fragility properties and interdependence strengths. A second application examined the role of
cascading failures caused by component overloading in systemic fragility. The results showed that
cascading failures worsen interdependence fragility, and that mitigation actions improving local component capacity have limited effect on controlling interdependent-induced fragility. Two additional conceptual mitigation measures, component fragility reduction ( CFR ) and interdependence redundancy enhancement ( IRE ), were explored. CFR , decreases component seismic fragilities while IRE adds interdependence links to dependent nodes. Test results showed that CFR outperforms IRE ; however, their combination achieved comparable fragility reductions. This outcome highlights the potential of synergistic mitigation policies in controlling interdependent systemic fragility. Finally, the IFA methodology was adapted to use a probabilistic seismic description for the estimation of unconditional systemic fragilities. The hazard description was obtained following an existing approach that uses importance sampling for the generation of intensity maps. The value of the hybrid methodology rests on its capacity to generate unconditional fragility estimates for direct use in risk assessment. Topics for future work include the development of more sophisticated models of
cascading failure, the analysis of optimal mitigation actions using mitigation cost-structures and life-cycle costs, the extension of the IFA methodology for perturbation such as hurricanes and flooding, and interdependent fragility studies of theoretical network models.
Advisors/Committee Members: Dueñas-Osorio, Leonardo (advisor).
Subjects/Keywords: Applied sciences; Probabilistic fragility; Interdependent urban networks; Seismic hazards; Systemic fragility; Cascading failures; Civil engineering; Environmental engineering
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Export
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APA (6th Edition):
Hernandez-Fajardo, I. (2012). Probabilistic Fragility of Interdependent Urban Systems Subjected to Seismic Hazards. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/70260
Chicago Manual of Style (16th Edition):
Hernandez-Fajardo, Isaac. “Probabilistic Fragility of Interdependent Urban Systems Subjected to Seismic Hazards.” 2012. Doctoral Dissertation, Rice University. Accessed January 15, 2021.
http://hdl.handle.net/1911/70260.
MLA Handbook (7th Edition):
Hernandez-Fajardo, Isaac. “Probabilistic Fragility of Interdependent Urban Systems Subjected to Seismic Hazards.” 2012. Web. 15 Jan 2021.
Vancouver:
Hernandez-Fajardo I. Probabilistic Fragility of Interdependent Urban Systems Subjected to Seismic Hazards. [Internet] [Doctoral dissertation]. Rice University; 2012. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/1911/70260.
Council of Science Editors:
Hernandez-Fajardo I. Probabilistic Fragility of Interdependent Urban Systems Subjected to Seismic Hazards. [Doctoral Dissertation]. Rice University; 2012. Available from: http://hdl.handle.net/1911/70260
University of New Mexico
11.
Das, Pankaz.
Optimizing Interconnectivity among Networks under Attacks.
Degree: Electrical and Computer Engineering, 2019, University of New Mexico
URL: https://digitalrepository.unm.edu/ece_etds/442
► Networks may need to be interconnected for various reasons such as inter-organizational communication, redundant connectivity, increasing data-rate and minimizing delay or packet-loss, etc. However,…
(more)
▼ Networks may need to be interconnected for various reasons such as inter-organizational communication, redundant connectivity, increasing data-rate and minimizing delay or packet-loss, etc. However, the trustworthiness of an added interconnection link cannot be taken for granted due to the presence of attackers who may compromise the security of an interconnected network by intercepting the interconnections. Namely, an intercepted interconnection link may not be secured due to the data manipulations by attackers. In the first part of this dissertation, the number of interconnections between the two networks is optimized for maximizing the data-rate and minimizing the packet-loss under the threat of security attacks. The optimization of the interconnectivity considering the security attack is formulated using a rate-distortion optimization setting, as originally introduced by Claude E. Shannon in the information theory. In particular, each intercepted interconnection is modeled as a noisy communication channel where the attackers may manipulate the data by flipping and erasing of data bits, and then the total capacity for any given number of interconnections is calculated. By exploiting such formulation, the optimal number of interconnections between two networks is found under network administrators data-rate and packet-loss requirement, and most importantly, without compromising the data security. It is concluded analytically and verified by simulations under certain conditions, increasing interconnections beyond an optimal number would not be beneficial concerning the data-rates and packet-loss. In the second part of this dissertation, the vulnerability of the interconnected network is analyzed by a probabilistic model that maps the intensity of physical attacks to network component failure distributions. Also, assuming the network is susceptible to the attack propagation, the resiliency of the network is modeled by the influence model and epidemic model. Finally, a stochastic model is proposed to track the node failure dynamics in a network considering dependency with power
failures. Besides, the
cascading failure in the power grid is analyzed with a data-driven model that reproduces the evolution of power-transmission line failure in power grids. To summarize, the optimal interconnectivity among networks is analyzed under security attacks, and the dynamic interactions in an interconnected network are investigated under various physical and logical attacks.
The proper application of this work would add the minimum number of inter-network connections between two networks without compromising the data security. The optimal number interconnections would meet network administrator’s requirement and minimize cost (both security and monetary) associated with unnecessary connections. This work can also be used to estimate the reliability of a communication network under different types of physical attacks independently and also by incorporating the dynamics of power
failures.
Advisors/Committee Members: Majeed M. Hayat, Francesco Sorrentino, Manel Martinez-Ramon, Balu Santhanam.
Subjects/Keywords: Interdependent communication networks; optimal interconnections; data flipping and erasure attack; physical attacks; cascading failures; failure propagation.; Electrical and Computer Engineering
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APA (6th Edition):
Das, P. (2019). Optimizing Interconnectivity among Networks under Attacks. (Doctoral Dissertation). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/ece_etds/442
Chicago Manual of Style (16th Edition):
Das, Pankaz. “Optimizing Interconnectivity among Networks under Attacks.” 2019. Doctoral Dissertation, University of New Mexico. Accessed January 15, 2021.
https://digitalrepository.unm.edu/ece_etds/442.
MLA Handbook (7th Edition):
Das, Pankaz. “Optimizing Interconnectivity among Networks under Attacks.” 2019. Web. 15 Jan 2021.
Vancouver:
Das P. Optimizing Interconnectivity among Networks under Attacks. [Internet] [Doctoral dissertation]. University of New Mexico; 2019. [cited 2021 Jan 15].
Available from: https://digitalrepository.unm.edu/ece_etds/442.
Council of Science Editors:
Das P. Optimizing Interconnectivity among Networks under Attacks. [Doctoral Dissertation]. University of New Mexico; 2019. Available from: https://digitalrepository.unm.edu/ece_etds/442
University of Maryland
12.
Montezzo Coelho, Maria Eduarda.
Distributed System Behavior Modeling of Urban Systems with Ontologies, Rules and Message Passing Mechanisms.
Degree: Civil Engineering, 2017, University of Maryland
URL: http://hdl.handle.net/1903/19489
► Modern infrastructures are defined by spatially distributed network structures, concurrent subsystem-level behaviors, distributed control and decision making, and interdependencies among subsystems that are not always…
(more)
▼ Modern infrastructures are defined by spatially distributed network structures, concurrent subsystem-level behaviors, distributed control and decision making, and interdependencies among subsystems that are not always well understood. This work presents a model of system-level interactions that simulates distributed system behaviors through the use of ontologies, rules checking, and message passing mechanisms. We take initial steps toward the behavior modeling of large-scale urban networks as collections of networks that interact via many-to-many association relationships. We conclude with ideas for scaling up the simulations with mediators assembled from Apache Camel technology.
Advisors/Committee Members: Austin, Mark A (advisor).
Subjects/Keywords: Civil engineering; Urban planning; Systems science; cascading failures; city operating system; semantic modeling; spacio-temporal modeling; system of systems; urban modeling
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Export
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APA (6th Edition):
Montezzo Coelho, M. E. (2017). Distributed System Behavior Modeling of Urban Systems with Ontologies, Rules and Message Passing Mechanisms. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/19489
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Montezzo Coelho, Maria Eduarda. “Distributed System Behavior Modeling of Urban Systems with Ontologies, Rules and Message Passing Mechanisms.” 2017. Thesis, University of Maryland. Accessed January 15, 2021.
http://hdl.handle.net/1903/19489.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Montezzo Coelho, Maria Eduarda. “Distributed System Behavior Modeling of Urban Systems with Ontologies, Rules and Message Passing Mechanisms.” 2017. Web. 15 Jan 2021.
Vancouver:
Montezzo Coelho ME. Distributed System Behavior Modeling of Urban Systems with Ontologies, Rules and Message Passing Mechanisms. [Internet] [Thesis]. University of Maryland; 2017. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/1903/19489.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Montezzo Coelho ME. Distributed System Behavior Modeling of Urban Systems with Ontologies, Rules and Message Passing Mechanisms. [Thesis]. University of Maryland; 2017. Available from: http://hdl.handle.net/1903/19489
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Virginia Tech
13.
Sansavini, Giovanni.
Network Modeling Stochastic and Deterministic Approaches.
Degree: PhD, Engineering Science and Mechanics, 2010, Virginia Tech
URL: http://hdl.handle.net/10919/28857
► Stochastic and deterministic approaches for modeling complex networks are presented. The methodology combines analysis of the structure formed by the interconnections among the elements of…
(more)
▼ Stochastic and deterministic approaches for modeling complex networks are presented. The methodology combines analysis of the structure formed by the interconnections among the elements of a network with an assessment of the vulnerability towards the propagation of
cascading failures. The goal is to understand the mutual interplay between the structure of the network connections and the propagation of
cascading failures.
Two fundamental issues related to the optimal design and operation of complex networks are addressed. The first concerns the impact that
cascading failures have on networks due to the connectivity pattern linking their components. If the state of load on the network components is high, the risk of cascade spreadings becomes significant. In this case, the needed reduction of the connectivity efficiency to prevent the propagation of
failures affecting the entire system is quantified. The second issue concerns the realization of the most efficient connectivity in a network that minimizes the propagations of
cascading failures. It is found that a system that routinely approaches the critical load for the onset of
cascading failures during its operation should have a larger efficiency value. This allows for a smoother transition to the cascade region and for a reasonable reaction time to counteract the onset of significant
cascading failures.
The interplay between the structure of the network connections and the propagation of
cascading failures is assessed also in interdependent networks. In these systems, the linking among several network infrastructures is necessary for their optimal and economical operation. Yet, the interdependencies introduce weaknesses due to the fact that
failures may cascade from one system to other interdependent systems, possibly affecting their overall functioning. Inspired by the global efficiency, a measure of the communication capabilities among interdependent systems, i.e. the interdependency efficiency, is defined. The relations between the structural parameters, i.e. the system links and the interdependency links, and the interdependency efficiency, are also quantified, as well as the relations between the structural parameters and the vulnerability towards the propagation of
cascading failures. Resorting to this knowledge, the optimal interdependency connectivity is identified.
Similar to the spreading of
failures, the formation of a giant component is a critical phenomenon emerging as a result of the connectivity pattern in a network. This structural transition is exploited to identify the formation of macrometastases in the developed model for metastatic colonization in tumor growth. The methods of network theory proves particularly suitable to reproduce the local interactions among tumor cells that lead to the emergent global behavior of the metastasis as a community. This model for intercellular sensing reproduces the stepwise behavior characteristic of metastatic colonization. Moreover, it prompts the consideration of a curative intervention that hinders…
Advisors/Committee Members: Duke, John C. Jr. (committee member), Ross, Shane D. (committee member), Kulkarni, Rahul V. (committee member), Hajj, Muhammad R. (committeecochair), Puri, Ishwar K. (committeecochair).
Subjects/Keywords: Interdependent Networks; Percolation Transition; Cascading Failures; Network Systems
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APA (6th Edition):
Sansavini, G. (2010). Network Modeling Stochastic and Deterministic Approaches. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28857
Chicago Manual of Style (16th Edition):
Sansavini, Giovanni. “Network Modeling Stochastic and Deterministic Approaches.” 2010. Doctoral Dissertation, Virginia Tech. Accessed January 15, 2021.
http://hdl.handle.net/10919/28857.
MLA Handbook (7th Edition):
Sansavini, Giovanni. “Network Modeling Stochastic and Deterministic Approaches.” 2010. Web. 15 Jan 2021.
Vancouver:
Sansavini G. Network Modeling Stochastic and Deterministic Approaches. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/10919/28857.
Council of Science Editors:
Sansavini G. Network Modeling Stochastic and Deterministic Approaches. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/28857
14.
Verma, T. (author).
Vulnerability of Power Grids to Cascading Failures.
Degree: 2012, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:9780faf8-81e0-4f9f-b5c6-6848393be4d1
► Power sector vulnerability has been a key issue in society for over a decade. A component failure may trigger cascades of failures across the grid…
(more)
▼ Power sector vulnerability has been a key issue in society for over a decade. A component failure may trigger cascades of failures across the grid and lead to a large blackout. Complex Network approaches have shown a direction to study some of the problems faced by power grids and it is a continuing challenge thus far. Power grids have been studied for their structural vulnerabilities using purely topological approaches. A purely topological approach assumes that flow of power is dictated by shortest paths. However, this fails to capture the real flow characteristics of power grids. We have proposed a flow redistribution mechanism that closely mimics the flow in power grids using the \ac{PTDF}. With this mechanism we enhance the already existing cascading failure models to study the vulnerability of power grids. We apply the model to the European high-voltage grid to carry out a comparative study for a number of centrality measures. `Centrality' gives an indication of the criticality of network components. Our model offers a way to find those centrality measures that give the best indication of node vulnerability in the context of power grids, by considering not only the network topology but also the power flowing through the network. In addition, we use the model to determine the spare capacity that is needed to make the grid robust to targeted attacks.
Distributed Systems and Networks
Computer Engineering
Electrical Engineering, Mathematics and Computer Science
Advisors/Committee Members: Kooij, R.E. (mentor).
Subjects/Keywords: power grids; complex networks; cascading failures; flow redistribution; centrality
…This leads us to study cascading
failures by incorporating properties of flows in power grids… …power
grids and therefore be able to predict the evolution of cascading failures in a… …grids in section 3.1. To study
cascading failures differently from the already existing… …that we use to
quantify the vulnerability of power grids in case of cascading failures. In… …grids are vulnerable to cascading failures. For a decade this has been an extensive
topic of…
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Export
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APA (6th Edition):
Verma, T. (. (2012). Vulnerability of Power Grids to Cascading Failures. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:9780faf8-81e0-4f9f-b5c6-6848393be4d1
Chicago Manual of Style (16th Edition):
Verma, T (author). “Vulnerability of Power Grids to Cascading Failures.” 2012. Masters Thesis, Delft University of Technology. Accessed January 15, 2021.
http://resolver.tudelft.nl/uuid:9780faf8-81e0-4f9f-b5c6-6848393be4d1.
MLA Handbook (7th Edition):
Verma, T (author). “Vulnerability of Power Grids to Cascading Failures.” 2012. Web. 15 Jan 2021.
Vancouver:
Verma T(. Vulnerability of Power Grids to Cascading Failures. [Internet] [Masters thesis]. Delft University of Technology; 2012. [cited 2021 Jan 15].
Available from: http://resolver.tudelft.nl/uuid:9780faf8-81e0-4f9f-b5c6-6848393be4d1.
Council of Science Editors:
Verma T(. Vulnerability of Power Grids to Cascading Failures. [Masters Thesis]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:9780faf8-81e0-4f9f-b5c6-6848393be4d1
Georgia Tech
15.
Siddique, Shahnewaz.
Failure mechanisms of complex systems.
Degree: PhD, Aerospace Engineering, 2014, Georgia Tech
URL: http://hdl.handle.net/1853/51831
► Understanding the behavior of complex, large-scale, interconnected systems in a rigorous and structured manner is one of the most pressing scientific and technological challenges of…
(more)
▼ Understanding the behavior of complex, large-scale, interconnected systems in a rigorous and structured manner is one of the most pressing scientific and technological challenges of current times. These systems include, among many others, transportation and communications systems, smart grids and power grids, financial markets etc.
Failures of these systems have potentially enormous social, environmental and financial costs. In this work, we investigate the failure mechanisms of load-sharing complex systems. The systems are composed of multiple nodes or components whose
failures are determined based on the interaction of their respective strengths and loads (or capacity and demand respectively) as well as the ability of a component to share its load with its neighbors when needed. Each component possesses a specific strength (capacity) and can be in one of three states: failed, damaged or functioning normally. The states are determined based on the load (demand) on the component.
We focus on two distinct mechanisms to model the interaction between components strengths and loads. The first, a Loss of Strength (LOS) model and the second, a Customer Service (CS) model. We implement both models on lattice and scale-free graph network topologies. The failure mechanisms of these two models demonstrate temporal scaling phenomena, phase transitions and multiple distinct failure modes excited by extremal dynamics. We find that the resiliency of these models is sensitive to the underlying network topology. For critical ranges of parameters the models demonstrate power law and exponential failure patterns. We find that the failure mechanisms of these models have parallels to failure mechanisms of critical infrastructure systems such as congestion in transportation networks,
cascading failure in electrical power grids, creep-rupture in composite structures, and draw-downs in financial markets. Based on the different variants of failure, strategies for mitigating and postponing failure in these critical infrastructure systems can be formulated.
Advisors/Committee Members: Feron, Eric M. (advisor), Volovoi, Vitali V. (committee member), Hodges, Dewey H. (committee member), Schrage, Daniel P. (committee member), Shamma, Jeff S. (committee member).
Subjects/Keywords: Non-equilibrium systems; Statistical physics; Extremal dynamics; Cascading failure; Network congestion; Monte Carlo simulations; Reliability theory; System failures (Engineering); System analysis; Electric network topology
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APA ·
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APA (6th Edition):
Siddique, S. (2014). Failure mechanisms of complex systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51831
Chicago Manual of Style (16th Edition):
Siddique, Shahnewaz. “Failure mechanisms of complex systems.” 2014. Doctoral Dissertation, Georgia Tech. Accessed January 15, 2021.
http://hdl.handle.net/1853/51831.
MLA Handbook (7th Edition):
Siddique, Shahnewaz. “Failure mechanisms of complex systems.” 2014. Web. 15 Jan 2021.
Vancouver:
Siddique S. Failure mechanisms of complex systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/1853/51831.
Council of Science Editors:
Siddique S. Failure mechanisms of complex systems. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51831
Delft University of Technology
16.
Koç, Y.
On Robustness of Power Grids.
Degree: 2015, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886
;
urn:NBN:nl:ui:24-uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886
;
urn:NBN:nl:ui:24-uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886
;
http://resolver.tudelft.nl/uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886
► Current and future trends in environmental, economical, and human-caused factors (such as power demand growth, over-ageing of assets in power grids, and extreme weather conditions)…
(more)
▼ Current and future trends in environmental, economical, and human-caused factors (such as power demand growth, over-ageing of assets in power grids, and extreme weather conditions) challenge power grid robustness in the near future, necessitating research to better analyse and understand the notion of robustness in power grids, and ultimately to enhance it. This dissertation investigates the robustness of power grids from a Complex Networks Theory perspective to develop concepts and measures to quantitatively assess power grid robustness. A set of metrics are proposed to quantitatively assess the robustness of power transmission and distribution grids accounting for the impact of the key system characteristics such as the operative state and the topology. The proposed metrics provide means to exploit the relationship between the topology, operation, and robustness performance of power grids. They are experimentally validated using models of power grids, and applied on IEEE power systems, synthetically generated power grids, and real world power grids. The proposed metrics assist grid operators for dynamical optimization of flow and topology of a given power grid, and grid analysts in strategic asset management and network expansion planning processes for the purpose of robustness enhancement of a power grid.
Advisors/Committee Members: Brazier, F.M.T., Kooij, R., Warnier, M.E..
Subjects/Keywords: robustness; power grids; complex networks; cascading failures; metrics; design; infrastructure protection
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Koç, Y. (2015). On Robustness of Power Grids. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886 ; urn:NBN:nl:ui:24-uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886 ; urn:NBN:nl:ui:24-uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886 ; http://resolver.tudelft.nl/uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886
Chicago Manual of Style (16th Edition):
Koç, Y. “On Robustness of Power Grids.” 2015. Doctoral Dissertation, Delft University of Technology. Accessed January 15, 2021.
http://resolver.tudelft.nl/uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886 ; urn:NBN:nl:ui:24-uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886 ; urn:NBN:nl:ui:24-uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886 ; http://resolver.tudelft.nl/uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886.
MLA Handbook (7th Edition):
Koç, Y. “On Robustness of Power Grids.” 2015. Web. 15 Jan 2021.
Vancouver:
Koç Y. On Robustness of Power Grids. [Internet] [Doctoral dissertation]. Delft University of Technology; 2015. [cited 2021 Jan 15].
Available from: http://resolver.tudelft.nl/uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886 ; urn:NBN:nl:ui:24-uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886 ; urn:NBN:nl:ui:24-uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886 ; http://resolver.tudelft.nl/uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886.
Council of Science Editors:
Koç Y. On Robustness of Power Grids. [Doctoral Dissertation]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886 ; urn:NBN:nl:ui:24-uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886 ; urn:NBN:nl:ui:24-uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886 ; http://resolver.tudelft.nl/uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886
Delft University of Technology
17.
Cetinay-Iyicil, H.
Analysis and planning of power grids: A network perspective.
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:97657389-0ee5-4de7-82b6-6647470160a5
;
urn:NBN:nl:ui:24-uuid:97657389-0ee5-4de7-82b6-6647470160a5
;
97657389-0ee5-4de7-82b6-6647470160a5
;
10.4233/uuid:97657389-0ee5-4de7-82b6-6647470160a5
;
urn:isbn:978-94-6186-969-2
;
urn:NBN:nl:ui:24-uuid:97657389-0ee5-4de7-82b6-6647470160a5
;
http://resolver.tudelft.nl/uuid:97657389-0ee5-4de7-82b6-6647470160a5
► Electric power has become an essential part of daily life: we plug our electronic devices in, switch our lights on, and expect to have power.…
(more)
▼ Electric power has become an essential part of daily life: we plug our electronic devices in, switch our lights on, and expect to have power. As the availability of power is usually taken for granted in modern societies, we mostly feel annoyed at its absence and perceive the importance of power during outages which have severe effects on the public order. Blackouts have had disastrous consequences for many countries and they continue to occur frequently. Such examples demonstrate the necessity for careful analysis and planning of power grids, to ultimately increase the reliability of power grids. The power grids have evolved due to economic, environmental and human-caused factors. In addition to the contingency analysis, nowadays, the operation and planning of power grids are facing many other challenges (such as demand growth, targeted attacks,
cascading failures, and renewable energy integration). Thus, many questions arise, including: which buses (nodes) to connect with a new line (link)? What are the impacts of malicious attacks on power grids? How may an initial failure result in a cascade of
failures? How to prepare for the integration of renewable energy? Answering such questions requires developing new concepts and tools for analysing and planning of power grids. Power grids are one of the largest and the most complex man-made systems on earth. The complex nature of power grids and its underlying structure make it possible to analyse power grids relying on network science. The applications of network science on power grids have shown the promising potential to capture the interdependencies between components and to understand the collective emergent behaviour of complex power grids. This thesis is motivated by the increasing need of reliable power grids and the merits of network science on the investigation of power grids. In this context, relying on network science, we model and analyse the power grid and its near-future challenges in terms of line removals/additions, malicious attacks,
cascading failures, and renewable integration.
Advisors/Committee Members: Van Mieghem, P.F.A., Kuipers, F.A., Delft University of Technology.
Subjects/Keywords: network science; power grids; cascading failures; wind power; sensitivity analyses; targeted attacks; centrality metrics
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APA ·
Chicago ·
MLA ·
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CSE |
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APA (6th Edition):
Cetinay-Iyicil, H. (2018). Analysis and planning of power grids: A network perspective. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; urn:NBN:nl:ui:24-uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; 97657389-0ee5-4de7-82b6-6647470160a5 ; 10.4233/uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; urn:isbn:978-94-6186-969-2 ; urn:NBN:nl:ui:24-uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; http://resolver.tudelft.nl/uuid:97657389-0ee5-4de7-82b6-6647470160a5
Chicago Manual of Style (16th Edition):
Cetinay-Iyicil, H. “Analysis and planning of power grids: A network perspective.” 2018. Doctoral Dissertation, Delft University of Technology. Accessed January 15, 2021.
http://resolver.tudelft.nl/uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; urn:NBN:nl:ui:24-uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; 97657389-0ee5-4de7-82b6-6647470160a5 ; 10.4233/uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; urn:isbn:978-94-6186-969-2 ; urn:NBN:nl:ui:24-uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; http://resolver.tudelft.nl/uuid:97657389-0ee5-4de7-82b6-6647470160a5.
MLA Handbook (7th Edition):
Cetinay-Iyicil, H. “Analysis and planning of power grids: A network perspective.” 2018. Web. 15 Jan 2021.
Vancouver:
Cetinay-Iyicil H. Analysis and planning of power grids: A network perspective. [Internet] [Doctoral dissertation]. Delft University of Technology; 2018. [cited 2021 Jan 15].
Available from: http://resolver.tudelft.nl/uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; urn:NBN:nl:ui:24-uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; 97657389-0ee5-4de7-82b6-6647470160a5 ; 10.4233/uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; urn:isbn:978-94-6186-969-2 ; urn:NBN:nl:ui:24-uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; http://resolver.tudelft.nl/uuid:97657389-0ee5-4de7-82b6-6647470160a5.
Council of Science Editors:
Cetinay-Iyicil H. Analysis and planning of power grids: A network perspective. [Doctoral Dissertation]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; urn:NBN:nl:ui:24-uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; 97657389-0ee5-4de7-82b6-6647470160a5 ; 10.4233/uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; urn:isbn:978-94-6186-969-2 ; urn:NBN:nl:ui:24-uuid:97657389-0ee5-4de7-82b6-6647470160a5 ; http://resolver.tudelft.nl/uuid:97657389-0ee5-4de7-82b6-6647470160a5
18.
Pahwa, Sakshi.
Dynamics on
complex networks with application to power grids.
Degree: PhD, Department of Electrical and
Computer Engineering, 2013, Kansas State University
URL: http://hdl.handle.net/2097/16891
► The science of complex networks has significantly advanced in the last decade and has provided valuable insights into the properties of real world systems by…
(more)
▼ The science of complex networks has significantly
advanced in the last decade and
has provided valuable insights
into the properties of real world systems by evaluating their
structure and construction. Several phenomena occurring in real
technological and social
systems can be studied, evaluated,
quantified, and remedied with the help of network science.
The
electric power grid is one such real technological system that can
be studied through
the science of complex networks. The electric
grid consists of three basic sub-systems:
Generation,
Transmission, and Distribution. The transmission sub-system is of
particular
interest in this work because its mesh-like structure
offers challenging problems to complex
networks researchers.
Cascading dynamics of power grids is one of the problems that can
be
studied through complex networks. The North American Electric
Reliability Corporation
(NERC) defines a
cascading failure as the
uncontrolled successive loss of system elements
triggered by an
incident at any location.
In this dissertation, we primarily
discuss the dynamics of
cascading failures in the power
transmission grid, from a complex networks perspective, and propose
possible solutions for
mitigating their effects. We evaluate the
grid dynamics for two specific scenarios, load
growth and random
fluctuations in the grid, to study the behavior of the grid under
critical
conditions. Further, we propose three mitigation
strategies for reducing the damage caused
by
cascading failures.
The first strategy is intentional islanding in the power
transmission
grid. The aim of this method is to intentionally
split the grid into two or more separate self-
sustaining
components such that the initial failure is isolated and the
separated components
can function independently, with minimum load
shedding. The second mitigation strategy
involves controlled
placement of distributed generation (DG) in the transmission system
in
order to enhance robustness of the grid. The third strategy
requires the addition of a link in
the transmission grid by
reduction of the average spectral distance, utilizing the Ybus
matrix
of the grid and a novel algorithm.
Through this
dissertation, we aim to successfully cover the gap present in the
complex networks domain, with respect to the vulnerability analysis
of power grid networks.
Advisors/Committee Members: Caterina Scoglio.
Subjects/Keywords: Power
grid; Network
science; Complex
networks; Cascading
failures; Mitigation
strategies; Electrical Engineering (0544); Energy (0791)
…1
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3 Dynamics of Cascading Failures in Power… …24
3.3 Cascading Failures in Power Grids . . . . . . . . . . . . . . . . . . . . . . . . 26… …and Schulz, N., Load Shedding Strategies for
Preventing Cascading Failures in Power Grid… …Robustness of Power Grid Networks.
This dissertation primarily focuses on cascading failures in the… …Cascading
failures can occur due to several reasons or combination of reasons, such as excessive…
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Pahwa, S. (2013). Dynamics on
complex networks with application to power grids. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/16891
Chicago Manual of Style (16th Edition):
Pahwa, Sakshi. “Dynamics on
complex networks with application to power grids.” 2013. Doctoral Dissertation, Kansas State University. Accessed January 15, 2021.
http://hdl.handle.net/2097/16891.
MLA Handbook (7th Edition):
Pahwa, Sakshi. “Dynamics on
complex networks with application to power grids.” 2013. Web. 15 Jan 2021.
Vancouver:
Pahwa S. Dynamics on
complex networks with application to power grids. [Internet] [Doctoral dissertation]. Kansas State University; 2013. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/2097/16891.
Council of Science Editors:
Pahwa S. Dynamics on
complex networks with application to power grids. [Doctoral Dissertation]. Kansas State University; 2013. Available from: http://hdl.handle.net/2097/16891
19.
Youssef, Mina Nabil.
Measure of
robustness for complex networks.
Degree: PhD, Department of Electrical and
Computer Engineering, 2012, Kansas State University
URL: http://hdl.handle.net/2097/13689
► Critical infrastructures are repeatedly attacked by external triggers causing tremendous amount of damages. Any infrastructure can be studied using the powerful theory of complex networks.…
(more)
▼ Critical infrastructures are repeatedly attacked by
external triggers causing tremendous amount of damages. Any
infrastructure can be studied using the powerful theory of complex
networks. A complex network is composed of extremely large number
of different elements that exchange commodities providing
significant services. The main functions of complex networks can be
damaged by different types of attacks and
failures that degrade the
network performance. These attacks and
failures are considered as
disturbing dynamics, such as the spread of viruses in computer
networks, the spread of epidemics in social networks, and the
cascading failures in power grids. Depending on the network
structure and the attack strength, every network differently
suffers damages and performance degradation. Hence, quantifying the
robustness of complex networks becomes an essential task.
In this
dissertation, new metrics are introduced to measure the robustness
of technological and social networks with respect to the spread of
epidemics, and the robustness of power grids with respect to
cascading failures.
First, we introduce a new metric called the
Viral Conductance (VC
SIS) to assess the robustness of networks
with respect to the spread of epidemics that are modeled through
the susceptible/infected/susceptible (SIS) epidemic approach. In
contrast to assessing the robustness of networks based on a
classical metric, the epidemic threshold, the new metric integrates
the fraction of infected nodes at steady state for all possible
effective infection strengths. Through examples, VC
SIS
provides more insights about the robustness of networks than the
epidemic threshold. In addition, both the paradoxical robustness of
Barabási-Albert preferential attachment networks and the effect
of the topology on the steady state infection are studied, to show
the importance of quantifying the robustness of networks.
Second,
a new metric VC
SIR is introduced to assess the robustness of
networks with respect to the spread of
susceptible/infected/recovered (SIR) epidemics. To compute
VC
SIR, we propose a novel individual-based approach to model
the spread of SIR epidemics in networks, which captures the
infection size for a given effective infection rate. Thus,
VC
SIR quantitatively integrates the infection strength with
the corresponding infection size. To optimize the VC
SIR
metric, a new mitigation strategy is proposed, based on a temporary
reduction of contacts in social networks. The social contact
network is modeled as a weighted graph that describes the frequency
of contacts among the individuals. Thus, we consider the spread of
an epidemic as a dynamical system, and the total number of
infection cases as the state of the system, while the weight
reduction in the social network is the controller variable leading
to slow/reduce the spread of epidemics. Using optimal control
theory, the obtained solution represents an optimal adaptive
weighted network defined over a finite time interval. Moreover,
given the high…
Advisors/Committee Members: Caterina Scoglio.
Subjects/Keywords: Robustness
measure; Complex
networks; Spread of
epidemics; Power
grids; Viral
conductance; Cascading
failures; Electrical Engineering (0544); Epidemiology (0766)
…grids with respect to cascading failures
1.3 Contribution… …4 Robustness of power grids with respect to cascading failures
4.1 Related work… …70
4.1
Robustness measure with respect to the cascading failures . . . . . . . . . .
97… …the spread of viruses and cascading failures are considered among the
most harmful… …strategies [25, 102].
1.1.2
Cascading failures
Another type of disturbing dynamics is…
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APA ·
Chicago ·
MLA ·
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APA (6th Edition):
Youssef, M. N. (2012). Measure of
robustness for complex networks. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/13689
Chicago Manual of Style (16th Edition):
Youssef, Mina Nabil. “Measure of
robustness for complex networks.” 2012. Doctoral Dissertation, Kansas State University. Accessed January 15, 2021.
http://hdl.handle.net/2097/13689.
MLA Handbook (7th Edition):
Youssef, Mina Nabil. “Measure of
robustness for complex networks.” 2012. Web. 15 Jan 2021.
Vancouver:
Youssef MN. Measure of
robustness for complex networks. [Internet] [Doctoral dissertation]. Kansas State University; 2012. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/2097/13689.
Council of Science Editors:
Youssef MN. Measure of
robustness for complex networks. [Doctoral Dissertation]. Kansas State University; 2012. Available from: http://hdl.handle.net/2097/13689
University of Tennessee – Knoxville
20.
Chegu, Ashwini.
High Order Contingency Selection using Particle Swarm Optimization and Tabu Search.
Degree: MS, Electrical Engineering, 2010, University of Tennessee – Knoxville
URL: https://trace.tennessee.edu/utk_gradthes/693
► There is a growing interest in investigating the high order contingency events that may result in large blackouts, which have been a great concern for…
(more)
▼ There is a growing interest in investigating the high order contingency events that may result in large blackouts, which have been a great concern for power grid secure operation. The actual number of high order contingency is too huge for operators and planner to apply a brute-force enumerative analysis. This thesis presents a heuristic searching method based on particle swarm optimization (PSO) and tabu search to select severe high order contingencies. The original PSO algorithm gives an intelligent strategy to search the feasible solution space, but tends to find the best solution only. The proposed method combines the original PSO with tabu search such that a number of top candidates will be identified. This fits the need of high order contingency screening, which can be eventually the input to many other more complicate security analyses.
Reordering of branches of test system based on severity of N-1 contingencies is applied as a pre-processing to increase the convergence properties and efficiency of the algorithm. With this reordering approach, many critical high order contingencies are located in a small area in the whole searching space. Therefore, the proposed algorithm tends to concentrate in searching this area such that the number of critical branch combinations searched will increase. Therefore, the speedup ratio is found to increase significantly.
The proposed algorithm is tested for N-2 and N-3 contingencies using two test systems modified from the IEEE 118-bus and 30-bus systems. Variation of inertia weight, learning factors, and number of particles is tested and the range of values more suitable for this specific algorithm is suggested.
Although illustrated and tested with N-2 and N-3 contingency analysis, the proposed algorithm can be extended to even higher order contingencies but visualization will be difficult because of the increase in the problem dimensions corresponding to the order of contingencies.
Advisors/Committee Members: Fangxing (Fran) Li, Yilu Liu, Kevin Tomsovic.
Subjects/Keywords: power systems; blackouts; MATLAB; particle swarm optimization; N-k Contingency; cascading failures; tabu search; Electrical and Computer Engineering; Electrical and Electronics; Other Electrical and Computer Engineering; Power and Energy
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Chegu, A. (2010). High Order Contingency Selection using Particle Swarm Optimization and Tabu Search. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/693
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Chegu, Ashwini. “High Order Contingency Selection using Particle Swarm Optimization and Tabu Search.” 2010. Thesis, University of Tennessee – Knoxville. Accessed January 15, 2021.
https://trace.tennessee.edu/utk_gradthes/693.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Chegu, Ashwini. “High Order Contingency Selection using Particle Swarm Optimization and Tabu Search.” 2010. Web. 15 Jan 2021.
Vancouver:
Chegu A. High Order Contingency Selection using Particle Swarm Optimization and Tabu Search. [Internet] [Thesis]. University of Tennessee – Knoxville; 2010. [cited 2021 Jan 15].
Available from: https://trace.tennessee.edu/utk_gradthes/693.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Chegu A. High Order Contingency Selection using Particle Swarm Optimization and Tabu Search. [Thesis]. University of Tennessee – Knoxville; 2010. Available from: https://trace.tennessee.edu/utk_gradthes/693
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
21.
Delport, Jacques.
Critical Substation Risk Assessment and Mitigation.
Degree: PhD, Electrical Engineering, 2018, Virginia Tech
URL: http://hdl.handle.net/10919/83444
► Substations are joints in the power system that represent nodes that are vital to stable and reliable operation of the power system. They contrast the…
(more)
▼ Substations are joints in the power system that represent nodes that are vital to stable and reliable operation of the power system. They contrast the rest of the power system in that they are a dense combination of critical components causing all of them to be simultaneously vulnerable to one isolated incident: weather, attack, or other common failure modes. Undoubtedly, the loss of these vital links will have a severe impact to the to the power grid to varying degrees.
This work creates a
cascading model based on protection system misoperations to estimate system risk from loss-of-substation events in order to assess each substation's criticality. A continuation power flow method is utilized for estimating voltage collapse during cascades. Transient stability is included through the use of a supervised machine learning algorithm called random forests. These forests allow for fast, robust and accurate prediction of transient stability during loss-of-substation initiated cascades.
Substation risk indices are incorporated into a preventative optimal power flow (OPF) to reduce the risk of critical substations. This risk-based dispatch represents an easily scalable, robust algorithm for reducing risk associated with substation losses. This new dispatch allows operators to operate at a higher cost operating point for short periods in which substations may likely be lost, such as large weather events, likely attacks, etc. and significantly reduce system risk associated with those losses.
System risk is then studied considering the interaction of a power grid utility trying to protect their critical substations under a constrained budget and a potential attacker with insider information on critical substations. This is studied under a zero-sum game theoretic framework in which the utility is trying to confuse the attacker. A model is then developed to analyze how a utility may create a robust strategy of protection that cannot be heavily exploited while taking advantage of any mistakes potential attackers may make.
Advisors/Committee Members: Centeno, Virgilio A. (committeechair), Abbott, Amos L. (committee member), Phadke, Arun G. (committee member), De La Reelopez, Jaime (committee member), Marathe, Madhav Vishnu (committee member), Bernabeu, Emanuel Ernesto (committee member), Thorp, James S. (committee member).
Subjects/Keywords: critical substations; substation risk; system risk; cascading; hidden failures; misoperations; importance sampling; stability prediction; optimal power flow; game theory; restricted nash response; exploitation; exploitability
…failures in relays and
other protection misoperations and large scale cascading blackouts may… …11
3 CASCADING MODEL
3.1 Protection Misoperations
Hidden failures are failures, which are… …of
these substation nodes may even lead to low probability cascading sequences. Even though… …these cascading
sequences may be low probability events, their impact can be quite damaging… …these outages vary from misoperation, stress relieving
actions, protection failures, transient…
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Delport, J. (2018). Critical Substation Risk Assessment and Mitigation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83444
Chicago Manual of Style (16th Edition):
Delport, Jacques. “Critical Substation Risk Assessment and Mitigation.” 2018. Doctoral Dissertation, Virginia Tech. Accessed January 15, 2021.
http://hdl.handle.net/10919/83444.
MLA Handbook (7th Edition):
Delport, Jacques. “Critical Substation Risk Assessment and Mitigation.” 2018. Web. 15 Jan 2021.
Vancouver:
Delport J. Critical Substation Risk Assessment and Mitigation. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/10919/83444.
Council of Science Editors:
Delport J. Critical Substation Risk Assessment and Mitigation. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83444
Georgia Tech
22.
Adachi, Takao.
Impact of Cascading Failures on
Performance Assessment of Civil Infrastructure Systems.
Degree: PhD, Civil and Environmental Engineering, 2007, Georgia Tech
URL: http://hdl.handle.net/1853/14543
► Water distribution systems, electrical power transmission systems, and other civil infrastructure systems are essential to the smooth and stable operation of regional economies. Since the…
(more)
▼ Water distribution systems, electrical power transmission systems, and other civil infrastructure systems are essential to the smooth and stable operation of regional economies. Since the functions of such infrastructure systems often are inter-dependent, the systems sometimes suffer unforeseen functional disruptions. For example, the widespread power outage due to the malfunction of an electric power substation, which occurred in the northeastern United States and parts of Canada in August 2003, interrupted the supply of water to several communities, leading to inconvenience and economic losses. The sequence of such
failures leading to widespread outages is referred to as a
cascading failure. Assessing the vulnerability of communities to natural and man-made hazards should take the possibility of such
failures into account.
In seismic risk assessment, the risk to a facility or a building is generally specified by one of two basic approaches: through a probabilistic seismic hazard analysis (PSHA) and a stipulated scenario earthquake (SE). A PSHA has been widely accepted as a basis for design and evaluation of individual buildings, bridges and other facilities. However, the vulnerability assessment of distributed infrastructure facilities requires a model of spatial intensity of earthquake ground motion. Since the ground motions from a PSHA represent an aggregation of earthquakes, they cannot model the spatial variation in intensity. On the other hand, when a SE-based analysis is used, the spatial correlation of seismic intensities must be properly evaluated.
This study presents a new methodology for evaluating the functionality of an infrastructure system situated in a region of moderate seismicity considering functional interactions among the systems in the network,
cascading failure, and spatial correlation of ground motion. The functional interactions among facilities in the systems are modeled by fault trees, and the impact of
cascading failures on serviceability of a networked system is computed by a procedure from the field of operations research known as a shortest path algorithm. The upper and lower bound solutions to spatial correlation of seismic intensities over a region are obtained.
Advisors/Committee Members: Bruce R. Ellingwood (Committee Chair), Abdul-Hamid Zureick (Committee Member), James I. Craig (Committee Member), Kenneth M. Will (Committee Member), Reginald DesRoches (Committee Member).
Subjects/Keywords: Shortest path; PGA; PGV; Spatial correlation; Functionality; Cascading failure; Infrastructure interdependency; Electrical power transmission system; Water distribution system; Vulnerability; Scenario earthquake; Civil infrastructure systems; Earthquakes; Fragility; Lifeline systems; Risk; Decision making; Probabilistic seismic hazard analysis; System failures (Engineering); Public works Maintenance and repair; Infrastructure (Economics) Research; Earthquake hazard analysis
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APA (6th Edition):
Adachi, T. (2007). Impact of Cascading Failures on
Performance Assessment of Civil Infrastructure Systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14543
Chicago Manual of Style (16th Edition):
Adachi, Takao. “Impact of Cascading Failures on
Performance Assessment of Civil Infrastructure Systems.” 2007. Doctoral Dissertation, Georgia Tech. Accessed January 15, 2021.
http://hdl.handle.net/1853/14543.
MLA Handbook (7th Edition):
Adachi, Takao. “Impact of Cascading Failures on
Performance Assessment of Civil Infrastructure Systems.” 2007. Web. 15 Jan 2021.
Vancouver:
Adachi T. Impact of Cascading Failures on
Performance Assessment of Civil Infrastructure Systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/1853/14543.
Council of Science Editors:
Adachi T. Impact of Cascading Failures on
Performance Assessment of Civil Infrastructure Systems. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/14543
. 
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