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Metaheuristics Algorithms in Power Systems

Metaheuristics Algorithms in Power Systems

Top Research Book in Metaheuristics Algorithms in Power Systems

Author(s) Name:  Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enriquez

About the 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.

Table of Contents

  • Introduction to Metaheuristics Methods
  • Metaheuristic Schemes for Parameter Estimation in Induction Motors
  • Non-conventional Overcurrent Relays Coordination
  • Overcurrent Relay Coordination, Robustness and Fast Solutions
  • Bio-inspired Optimization Algorithms for Solving the Optimal Power Flow Problem in Power Systems
  • A Modified Crow Search Algorithm with Applications to Power System Problems
  • Optimal Location of FCL
  • Clustering Representative Electricity Load Data Using a Particle Swarm Optimization Algorithm
  • ISBN:  978-3-030-11593-7

    Publisher:  Springer, Cham

    Year of Publication:  2019

    Book Link:  Home Page Url