Graph Theory Applications to Deregulated Power Systems: SpringerBriefs in Electrical and Computer Engineering
Autor Ricardo Moreno Chuquen, Harold R. Chamorroen Limba Engleză Paperback – 27 oct 2020
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Specificații
ISBN-13: 9783030575885
ISBN-10: 3030575888
Pagini: 58
Ilustrații: IX, 58 p. 25 illus., 16 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.11 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Electrical and Computer Engineering
Locul publicării:Cham, Switzerland
ISBN-10: 3030575888
Pagini: 58
Ilustrații: IX, 58 p. 25 illus., 16 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.11 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Electrical and Computer Engineering
Locul publicării:Cham, Switzerland
Recenzii
“The book is of considerable interest to specialists engaged in the design and operation of power systems.” (Anatoly Martynyuk, zbMATH 1465.93005, 2021)
Notă biografică
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.
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.
Textul de pe ultima copertă
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.
Caracteristici
Offers a detailed explanation of graph theory applications in deregulated power systems Includes detailed case studies of graph theory concepts applied to electricity markets Presents a methodology to quantify the most critical nodes in a power system Provides a bridge between graph theory and power systems operation and planning