Metaheuristics Algorithms in Power Systems

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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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.

• Power Systems
• Metaheuristic Methods
• Evolutionary Computation
• Computational Intelligence
• Metaheuristic Computation

• 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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