Graph Theory Applications to Deregulated Power Systems

Ricardo Moreno Chuquen, Harold R. Chamorro (Autoren)

Buch | Softcover

IX, 58 Seiten

2020 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-57588-5 (ISBN)

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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.

lt;p>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.

1. Introduction

1.1. Scope and contribution

1.2. Outline

2. Topological Characterization of power systems networks

2.1 The Laplacian spectrum

2.2 The Largest eigenvalue

2.3 Algebraic connectivity

2.4 Laplacian eigenvalues and graph structure

3. Applications on power system operation and planning

3.1 Identification of subnetworks

3.2 Identification of critical nodes

3.3 Identification of islands

4. Security strategy applications

5. Applications on electricity markets

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

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

Erscheinungsdatum	28.10.2020
Reihe/Serie	SpringerBriefs in Electrical and Computer Engineering
Zusatzinfo	IX, 58 p. 25 illus., 16 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	454 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Graphentheorie
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Schlagworte	Critical Nodes in Power Systems • Critical Transmission Lines in Power Systems • Detection of Congestion Zones in Electricity Markets • Graph Theory Applications on Power Systems • Network Properties for Power Systems • Spectral Graph Theory on Power Systems • Vulnerability of Power Systems
ISBN-10	3-030-57588-8 / 3030575888
ISBN-13	978-3-030-57588-5 / 9783030575885
Zustand	Neuware