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North Carolina State University

1. Teleke, Sercan. Control Methods for Energy Storage for Dispatching Intermittent Renewable Energy Sources.

Degree: PhD, Electrical Engineering, 2009, North Carolina State University

URL: http://www.lib.ncsu.edu/resolver/1840.16/5535

Solar, wind and other renewable energy sources are becoming an important part of energy supply to the power grid. Integrating a battery energy storage system (BESS) with a solar photovoltaic (PV) system or a wind farm can make these intermittent renewable energy sources more dispatchable. In this thesis, three different control methods for BESS are proposed for this purpose.
For dispatching, the set point for the controllers is determined first using the historical data. Then using this reference, the power and energy ratings required for the BESS is calculated, and the battery operation in terms of charge/discharge duration is characterized.
For optimal use of a BESS to minimize the deviations from dispatch set points, three control methods for BESS have been developed. The simulations have shown that the dispatch performance obtained with SOC feedback method is unsatisfactory compared to the other two methods namely optimal control and rule based control. The rule based control, and the optimal control performs very similar since the rule based control corresponds to the closed loop implementation of the optimal control. Moreover, the rule based method has several advantages over the optimal control such as less computation time, closed loop implementation, and no need for development of a mathematical model for BESS.
In terms of BESS operation, it is seen that the BESS charge/discharge frequency is relatively high in this application; and hence, new type of batteries with high charge/discharge cycling rates are needed. Moreover, the control methods considered make a compromise in that they didnÃ¢â‚¬â„¢t utilize the BESS full capacity in order to extend the lifetime of the BESS, and hence, a large size BESS Ã¢â‚¬â€œ about 15%-25% of the solar PV/wind farm capacity Ã¢â‚¬â€œ is needed to have an effective hourly dispatch.
*Advisors/Committee Members: Johan Enslin, Committee Member (advisor), Mohan Putcha, Committee Member (advisor), Alex Huang, Committee Member (advisor), Mesut Baran, Committee Chair (advisor), Subhashish Bhattacharya, Committee Co-Chair (advisor).*

Subjects/Keywords: Battery energy storage system (BESS); optimal control; dispatchability; photovoltaic system; rule based control; wind energy

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

APA (6^{th} Edition):

Teleke, S. (2009). Control Methods for Energy Storage for Dispatching Intermittent Renewable Energy Sources. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/5535

Chicago Manual of Style (16^{th} Edition):

Teleke, Sercan. “Control Methods for Energy Storage for Dispatching Intermittent Renewable Energy Sources.” 2009. Doctoral Dissertation, North Carolina State University. Accessed September 23, 2019. http://www.lib.ncsu.edu/resolver/1840.16/5535.

MLA Handbook (7^{th} Edition):

Teleke, Sercan. “Control Methods for Energy Storage for Dispatching Intermittent Renewable Energy Sources.” 2009. Web. 23 Sep 2019.

Vancouver:

Teleke S. Control Methods for Energy Storage for Dispatching Intermittent Renewable Energy Sources. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2019 Sep 23]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5535.

Council of Science Editors:

Teleke S. Control Methods for Energy Storage for Dispatching Intermittent Renewable Energy Sources. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5535

North Carolina State University

2. Mansi, Kate Elizabeth. Reasoning and Geometric Proof in Mathematics Education: A Review of the Literature.

Degree: MS, Mathematics Education, 2003, North Carolina State University

URL: http://www.lib.ncsu.edu/resolver/1840.16/2692

The purpose of this literature review is to examine the role that reasoning and geometric proof play in the teaching and learning of mathematics. Specifically, I explore four questions: 1) What reasoning capabilities do students need to be ready for proof? 2) What evidence is there to show that high school students are not successful with proof and hold misconceptions about the nature of proof? 3) How can teachers' beliefs and understandings contribute to students' proof abilities? 4) What can be done to promote mathematical reasoning and improve students' proof writing skills?
Through a comparison of the theories of Piaget and van Hiele, I discuss how students acquire mathematical and geometric reasoning skills and how this relates to their readiness to produce formal proofs. I then discuss research findings, which indicate that students are not typically at a high enough van Hiele level to be successful with proof by the time they get to high school. Further research is presented which examines common geometric and proof misconceptions among students, and how this relates to proof achievement. Teacher proof-conceptions and achievement are also discussed, citing studies with elementary, middle, and high school preservice and inservice teachers, and how this may affect students' proof performance. Finally, I discuss ways in which preservice and inservice teachers can help their students improve their mathematical and geometric reasoning skills, thus furthering their proof comprehension and achievement.
*Advisors/Committee Members: Dr. Mohan Putcha, Committee Member (advisor), Dr. Hollylynne Stohl, Committee Chair (advisor), Dr. John Kolb, Committee Member (advisor).*

Subjects/Keywords: geometric reasoning; proof conceptions; proof achievement; mathematical reasoning; geometry; dynamic geometry; proof-readiness; van Hiele; Piaget; teacher preparation; secondary geometry; proof schemes

Record Details Similar Records

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

APA (6^{th} Edition):

Mansi, K. E. (2003). Reasoning and Geometric Proof in Mathematics Education: A Review of the Literature. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/2692

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Mansi, Kate Elizabeth. “Reasoning and Geometric Proof in Mathematics Education: A Review of the Literature.” 2003. Thesis, North Carolina State University. Accessed September 23, 2019. http://www.lib.ncsu.edu/resolver/1840.16/2692.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mansi, Kate Elizabeth. “Reasoning and Geometric Proof in Mathematics Education: A Review of the Literature.” 2003. Web. 23 Sep 2019.

Vancouver:

Mansi KE. Reasoning and Geometric Proof in Mathematics Education: A Review of the Literature. [Internet] [Thesis]. North Carolina State University; 2003. [cited 2019 Sep 23]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/2692.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mansi KE. Reasoning and Geometric Proof in Mathematics Education: A Review of the Literature. [Thesis]. North Carolina State University; 2003. Available from: http://www.lib.ncsu.edu/resolver/1840.16/2692

Not specified: Masters Thesis or Doctoral Dissertation

North Carolina State University

3. Dong, Puxuan. Design, Analysis and Realtime Realization of Artificial Neural Network for Control and Classification.

Degree: PhD, Electrical Engineering, 2006, North Carolina State University

URL: http://www.lib.ncsu.edu/resolver/1840.16/4621

Artificial neural networks (ANNs) are parallel architectures for processing information even though they are usually realized on general-purpose digital computers. This research has been focused on the design, analysis and real-time realization of artificial neural networks using programmable analog hardware for control and classification. We have investigated field programmable analog arrays (FPAAs) for realizing artificial neural networks (ANN). Our research results and products include a general theoretical limit on the number of neurons required by an ANN to classify a given number of data points, a design methodology for the efficient use of specific FPAA resources in ANN applications, several multi-chip FPAA implementations of ANNs for classification experiments, several single-chip FPAA implementations of analog PID controllers for an unmanned ground vehicle (UGV), experimental evaluation of FPAA PID controllers with a conventional digital PID controller on a UGV, and finally a single-chip FPAA implementation of a (non-linear) ANN controller for comparison with the previous FPAA PID controller on a UGV.
2
These results are collected as four papers formatted for publication and comprising chapters 3, 4, 5, and 6 of this thesis. The first paper develops our general bound for neural network complexity. The second presents a systematic approach based on the upper bound theory for implementing and simplifying neural network structures in FPAA technology. In the third paper, a FPAA based PID controller was designed and characterized in a path-tracking UGV; some of the results from this report are used as a baseline in the fourth paper. In the fourth paper, a FPAA based ANN controller is designed to control a path-tracking UGV and is investigated analytically and with simulation before its performance was experimentally compared to the previously designed FPAA PID controller regarding speed, stability and robustness. In conclusion, this dissertation focuses on the design, analysis and real-time realization of artificial neural networks. The proposed upper bound for neural network complexity provides guidelines for reducing hardware requirements and applies to any layered ANN approach to classification. It is complemented by the neural network structure simplification method which exploits specific features available in the FPAA technology which we used in our experiments and which we believe possess great potential for future real-time control and classification applications.
*Advisors/Committee Members: Rhett Davis, Committee Member (advisor), Wesley Snyder, Committee Member (advisor), Mohan Putcha, Committee Member (advisor), Griff L. Bilbro, Committee Chair (advisor), Mo-Yuen Chow, Committee Member (advisor).*

Subjects/Keywords: Control; Classification; Artificial Neural Networks; Analog Circuits

Record Details Similar Records

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

APA (6^{th} Edition):

Dong, P. (2006). Design, Analysis and Realtime Realization of Artificial Neural Network for Control and Classification. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4621

Chicago Manual of Style (16^{th} Edition):

Dong, Puxuan. “Design, Analysis and Realtime Realization of Artificial Neural Network for Control and Classification.” 2006. Doctoral Dissertation, North Carolina State University. Accessed September 23, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4621.

MLA Handbook (7^{th} Edition):

Dong, Puxuan. “Design, Analysis and Realtime Realization of Artificial Neural Network for Control and Classification.” 2006. Web. 23 Sep 2019.

Vancouver:

Dong P. Design, Analysis and Realtime Realization of Artificial Neural Network for Control and Classification. [Internet] [Doctoral dissertation]. North Carolina State University; 2006. [cited 2019 Sep 23]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4621.

Council of Science Editors:

Dong P. Design, Analysis and Realtime Realization of Artificial Neural Network for Control and Classification. [Doctoral Dissertation]. North Carolina State University; 2006. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4621