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Delft University of Technology

1. Dhiman, Ashish Kumar (author). Measuring the robustness of network controllability.

Degree: 2020, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:76b1aaca-f1f6-4eb5-9fbb-fec2fe443f10 

Networks are all around us, telecommunication networks, road transportation networks, and the Internet are a few examples of networks that we encounter every day. The entities in a network are represented by nodes and the interconnections between them are represented by links. For example, in a telecommunication network, a node could be an end point for data transmission, a redistribution point or in physical terms, an entity that is capable of receiving, transmitting or redistributing information and a link could be a wired or a wireless connection between the nodes. It is of prime importance that the networks perform their functions properly. To ensure the effective operation of such networks, we need to control them by applying external inputs on some nodes which are known as driver nodes. We say that a network is controllable if it can be driven from any arbitrary state to any desired state in finite time under the control of driver nodes which are attached to the external inputs. Networks are often confronted with perturbations in the form of targeted and random attacks to disrupt their operation. Such perturbations make these networks less controllable. Thus, more driver nodes are needed to gain the full controllability of these networks. As a result, the robustness of network controllability decreases. In this study, the minimum number of driver nodes which gain full controllability after failures or attacks is chosen as the robustness metric. Existing closed-form analytical approximations estimate the normalized minimum number of driver nodes as a function of the fraction of removed links in both targeted and random attacks. However, the approximations sometimes do not fit with the simulations and the errors between the approximations and simulations are large. The main objectives of this study are to improve the analytical approximations using machine learning methods for both targeted and random attacks and additionally, derive a suitable analytical approximation for the out-in degree-based attack. Specifically, we use Linear Regression, Random Forest, and Artificial Neural Networks. To evaluate the performance of our machine learning models, we compare them with analytical approximations and simulations. In addition to this, we also study the attack based variability in estimating the minimum number of driver nodes using robustness envelopes. Based on the performance evaluations, we found that the approximations using machine learning models significantly outperform the existing closed-form analytical approximations for the minimum number of driver nodes, both in real-world and synthetic networks. Furthermore, we also assess the performance of our analytical approximations for the out-in degree-based attacks by comparing them with simulations.

Electrical Engineering | Telecommunications and Sensing Systems

Advisors/Committee Members: Kooij, Robert (mentor), Sun, Peng (mentor), Kitsak, Maksim (graduation committee), Dubbeldam, Johan (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Network controllability; Robustness; Targeted attacks; Random attacks; Machine Learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dhiman, A. K. (. (2020). Measuring the robustness of network controllability. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:76b1aaca-f1f6-4eb5-9fbb-fec2fe443f10

Chicago Manual of Style (16th Edition):

Dhiman, Ashish Kumar (author). “Measuring the robustness of network controllability.” 2020. Masters Thesis, Delft University of Technology. Accessed April 14, 2021. http://resolver.tudelft.nl/uuid:76b1aaca-f1f6-4eb5-9fbb-fec2fe443f10.

MLA Handbook (7th Edition):

Dhiman, Ashish Kumar (author). “Measuring the robustness of network controllability.” 2020. Web. 14 Apr 2021.

Vancouver:

Dhiman AK(. Measuring the robustness of network controllability. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Apr 14]. Available from: http://resolver.tudelft.nl/uuid:76b1aaca-f1f6-4eb5-9fbb-fec2fe443f10.

Council of Science Editors:

Dhiman AK(. Measuring the robustness of network controllability. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:76b1aaca-f1f6-4eb5-9fbb-fec2fe443f10


Delft University of Technology

2. 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. 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 · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 April 14, 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. 14 Apr 2021.

Vancouver:

Cetinay-Iyicil H. Analysis and planning of power grids: A network perspective. [Internet] [Doctoral dissertation]. Delft University of Technology; 2018. [cited 2021 Apr 14]. 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


Universitat de Girona

3. Rueda Pepinosa, Diego Fernando. Geographical interdependent robustness measures in transportation networks.

Degree: Departament d'Arquitectura i Tecnologia de Computadors, 2018, Universitat de Girona

URL: http://hdl.handle.net/10803/665989 

La mayoría de redes de transporte interactúan con otras para para soportar el modo de vida de la sociedad moderna. En las redes interdependientes, el correcto funcionamiento depende de la operación normal de las redes que están interconectadas. El objetivo de esta tesis es medir y analizar la robustez de diferentes modelos de redes interdependientes bajo fallas de gran escala y, en particular, considerar redes interdependientes donde al menos una de las redes es una red de telecomunicaciones. Los efectos de diferentes modelos de red y procesos dinámicos de propagación de fallos entre redes son considerados. Nuevas estrategias de interconexión son propuestas para mejorar la robustez de las redes interconectadas mediante el análisis de la vulnerabilidad de las redes a fallas y ataques dirigidos. Además, se propone un modelo mejorado para la interconexión basada en regiones considerando un límite para el número de enlaces de interconexión entre las redes interconectadas Advisors/Committee Members: [email protected] (authoremail), false (authoremailshow), Calle Ortega, Eusebi (director).

Subjects/Keywords: Sistemes de telecomunicació; Sistemas de telecomunicación; Telecommunication systems; Robustesa; Robustez; Robustness; Xarxes interdependents; Redes interdependientes; Interdependent networks; Propagació de fallades; Propagación de fallos; Failure propagation; Atacs dirigits; Ataques dirigidos; Targeted attacks; 68

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rueda Pepinosa, D. F. (2018). Geographical interdependent robustness measures in transportation networks. (Thesis). Universitat de Girona. Retrieved from http://hdl.handle.net/10803/665989

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):

Rueda Pepinosa, Diego Fernando. “Geographical interdependent robustness measures in transportation networks.” 2018. Thesis, Universitat de Girona. Accessed April 14, 2021. http://hdl.handle.net/10803/665989.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rueda Pepinosa, Diego Fernando. “Geographical interdependent robustness measures in transportation networks.” 2018. Web. 14 Apr 2021.

Vancouver:

Rueda Pepinosa DF. Geographical interdependent robustness measures in transportation networks. [Internet] [Thesis]. Universitat de Girona; 2018. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10803/665989.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rueda Pepinosa DF. Geographical interdependent robustness measures in transportation networks. [Thesis]. Universitat de Girona; 2018. Available from: http://hdl.handle.net/10803/665989

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.