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E-raamat: Graph Theory Applications to Deregulated Power Systems

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This book provides a detailed description of network science concepts applied to power systems and electricity markets, offering an appropriate blend of theoretical background and practical applications for operation and power system planning. It discusses an approach to understanding power systems from a network science perspective using the direct recognition of the interconnectivity provided by the transmission system. Further, it explores the network properties in detail and characterizes them as a tool for online and offline applications for power system operation. The book includes an in-depth explanation of electricity markets problems that can be addressed from a graph theory perspective. It is intended for advanced undergraduate and graduate students in the fields of electric energy systems, operations research, management science and economics. Practitioners in the electric energy sector also benefit from the concepts and techniques presented here.

Arvustused

The book is of considerable interest to specialists engaged in the design and operation of power systems. (Anatoly Martynyuk, zbMATH 1465.93005, 2021)

1 Introduction
1(4)
1.1 Background and Motivation
1(2)
1.2 Scope and Contribution of This Book
3(1)
1.3 Book Outline
3(2)
Reference
4(1)
2 Topological Characterization of Power Systems Networks
5(4)
References
8(1)
3 Identification of Multiple Subnetworks
9(10)
3.1 Identification of Two Subnetworks
10(2)
3.2 Algebraic Connectivity
12(1)
3.3 Identification of K-Subnetworks
13(2)
3.4 Illustrative Examples: the IEEE 118-Bus System
15(4)
References
16(3)
4 Network Robustness for Power Systems
19(8)
4.1 Quantification of the Network Robustness
20(3)
4.2 Illustrative Examples: 68-Bus and 118-Bus IEEE Test Systems
23(2)
4.3 Concluding Remarks
25(2)
References
25(2)
5 Security Strategies Applications
27(16)
5.1 Hierarchical Islanding of Power System as a Security Strategy
28(3)
5.2 Illustrating the Hierarchical Islanding Procedures
31(6)
5.2.1 A Medium Size Network Example
31(1)
5.2.2 A Large Size Network Example
32(4)
5.2.3 Concluding Remarks About Hierarchical Islanding
36(1)
5.3 Quantification of Grid-Impactive Events
37(6)
5.3.1 Identification of Critical Transmission Lines
37(3)
References
40(3)
6 Cyber Physical Systems Security for the Smart Grid
43(8)
6.1 Energy Management Systems
43(1)
6.2 Cyber Physical Systems Security for the Smart Grid
44(1)
6.3 Network Topology Processor
45(1)
6.4 Electricity Markets
45(1)
6.5 Transmission Automation
46(1)
6.6 Defense Mechanisms
47(1)
6.7 Concluding Remarks and Future Work
47(4)
References
48(3)
7 Conclusions
51(4)
7.1 Future Research Directions
52(3)
Appendix A 55(2)
Appendix B 57
Prof. Dr. Ricardo Moreno-Chuquen: Ricardo Moreno-Chuquen is a Professor of Electrical Engineering in the Universidad Autónoma de Occidente (UAO) in Colombia. His major research activities are in power system analysis, economics and control and electric utility regulatory policy. He has a keen interest in the interdisciplinary aspects of these areas. Moreno received his B.Eng. in Electronic Engineering at Universidad de Los Andes, Colombia, in 2008, and his M.S. and Ph.D. from Universidad de Los Andes, Colombia, in 2009 and 2012, respectively. Dr. Moreno has consulted on electricity issues with utilities, government organizations and research institutions in Canada, Colombia and Central America. He has lectured at postgraduate level in various universities. His research results have been presented at a wide array of international conferences and journals.





Harold R. Chamorro: He is an electrical engineer with vast experience in energy and power assets, Master of Science in electrical engineering from Universidad de los Andes (Bogotá, Colombia), Licentiate in Electrical Engineering from KTH, Royal Institute of Technology, Stockholm, Sweden. He is working towards a Ph.D. degree at KU Leuven, Belgium. His main research interests include power systems dynamics, network control systems, microgrids, future power networks and renewable energy integration.