Graph theory applications to deregulated power systems / Ricardo Moreno Chuquen, Harold R. Chamorro.
2021
TK1005 .M67 2021
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Title
Graph theory applications to deregulated power systems / Ricardo Moreno Chuquen, Harold R. Chamorro.
ISBN
3030575896 (electronic book)
9783030575892 (electronic bk.)
3030575888
9783030575885
9783030575892 (electronic bk.)
3030575888
9783030575885
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource (ix, 58 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-57589-2 doi
Call Number
TK1005 .M67 2021
Dewey Decimal Classification
621.31
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Source of Description
Online resource; title from digital title page (viewed on December 15, 2020).
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Series
SpringerBriefs in electrical and computer engineering.
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Table of Contents
Introduction
Topological characterization of power systems networks
Identification of multiple subnetworks
Network robustness for power systems
Security strategies applications
Cyber physical systems security for the smart grid
Conclusions.
Topological characterization of power systems networks
Identification of multiple subnetworks
Network robustness for power systems
Security strategies applications
Cyber physical systems security for the smart grid
Conclusions.