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Metaheuristics Algorithms in Power Systems

✍ Scribed by Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez


Publisher
Springer International Publishing
Year
2019
Tongue
English
Leaves
231
Series
Studies in Computational Intelligence 822
Edition
1st ed.
Category
Library

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✦ Synopsis


This book discusses the use of efficient metaheuristic algorithms to solve diverse power system problems, providing an overview of the various aspects of metaheuristic methods to enable readers to gain a comprehensive understanding of the field and of conducting studies on specific metaheuristic algorithms related to power-system applications. By bridging the gap between recent metaheuristic techniques and novel power system methods that benefit from the convenience of metaheuristic methods, it offers power system practitioners who are not metaheuristic computation researchers insights into the techniques, which go beyond simple theoretical tools and have been adapted to solve important problems that commonly arise. On the other hand, members of the metaheuristic computation community learn how power engineering problems can be translated into optimization tasks, and it is also of interest to engineers and application developers. Further, since each chapter can be read independently, the relevant information can be quickly found. Power systems is a multidisciplinary field that addresses the multiple approaches used for design and analysis in areas ranging from signal processing, and electronics to computational intelligence, including the current trend of metaheuristic computation.

✦ Table of Contents


Front Matter ....Pages i-xii
Introduction to Metaheuristics Methods (Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez)....Pages 1-8
Metaheuristic Schemes for Parameter Estimation in Induction Motors (Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez)....Pages 9-22
Non-conventional Overcurrent Relays Coordination (Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez)....Pages 23-59
Overcurrent Relay Coordination, Robustness and Fast Solutions (Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez)....Pages 61-110
Bio-inspired Optimization Algorithms for Solving the Optimal Power Flow Problem in Power Systems (Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez)....Pages 111-136
A Modified Crow Search Algorithm with Applications to Power System Problems (Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez)....Pages 137-166
Optimal Location of FCL (Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez)....Pages 167-185
Clustering Representative Electricity Load Data Using a Particle Swarm Optimization Algorithm (Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez)....Pages 187-210
Back Matter ....Pages 211-221

✦ Subjects


Engineering; Computational Intelligence; Energy Systems; Power Electronics, Electrical Machines and Networks


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