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Metaheuristics Algorithms in Power Systems

  • Book
  • © 2019

Overview

Authors:
  1. Erik Cuevas

    1. Departamento de Electrónica, CUCEI, Universidad de Guadalajara, Guadalajara, Mexico

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  2. Emilio Barocio Espejo

    1. CUCEI, Universidad de Guadalajara, Guadalajara, Mexico

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  3. Arturo Conde Enríquez

    1. Universidad Autónoma de Nuevo León, San Nicolás de los Garza, Mexico

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  • Provides an overview of the various aspects of metaheuristic methods useful for power systems
  • Bridges the gap between recent metaheuristic optimization techniques and power system applications
  • Written by experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 822)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xii
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  2. Introduction to Metaheuristics Methods

    • Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
    Pages 1-8

  3. Metaheuristic Schemes for Parameter Estimation in Induction Motors

    • Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
    Pages 9-22

  4. Non-conventional Overcurrent Relays Coordination

    • Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
    Pages 23-59

  5. Overcurrent Relay Coordination, Robustness and Fast Solutions

    • Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
    Pages 61-110

  6. 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

  7. A Modified Crow Search Algorithm with Applications to Power System Problems

    • Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
    Pages 137-166

  8. Optimal Location of FCL

    • Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
    Pages 167-185

  9. Clustering Representative Electricity Load Data Using a Particle Swarm Optimization Algorithm

    • Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
    Pages 187-210

  10. Back Matter

    Pages 211-221
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Keywords

About this book

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.

Authors and Affiliations

  • Departamento de Electrónica, CUCEI, Universidad de Guadalajara, Guadalajara, Mexico

    Erik Cuevas

  • CUCEI, Universidad de Guadalajara, Guadalajara, Mexico

    Emilio Barocio Espejo

  • Universidad Autónoma de Nuevo León, San Nicolás de los Garza, Mexico

    Arturo Conde Enríquez

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