Load Frequency Control In Deregulated Power System: Optimal Design Of Controllers For LFC In Conventional And Deregulated Environment Using Hybrid Metaheuristics Algorithm

Nayak, Jyoti Ranjan/ Shaw, Binod

ISBN 10: 6202077603 / ISBN 13: 9786202077606

Published by LAP LAMBERT Academic Publishing, 2017

About this Item

120 pages. 8.66x5.91x0.28 inches. In Stock.

Seller Inventory # zk6202077603

Bibliographic Details

• Title: Load Frequency Control In Deregulated Power System: Optimal Design Of Controllers For LFC In Conventional And Deregulated Environment Using Hybrid Metaheuristics Algorithm
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2017
• Language: English
• ISBN 10: 6202077603
• ISBN 13: 9786202077606
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

This book is designed to provide a fair and brief idea about the application of Fuzzy logic controller and optimization techniques in the power system to regulate the generation in different environments. In this book, an attempt has been made to unify the design of power system for different environments, fuzzy PID controller and hybridization of metaheuristics algorithms. The power system is designed in four different environments such as single area isolated thermal system, two area single unit thermal system, two area two units thermal system in conventional and deregulated power system. Fuzzy PID controller is validated as better controller over PID controller and the hybrid DEPSO algorithm is validated over DE and PSO algorithms to optimize the controllers in all environments. In this book, design of power system in different environments, design of fuzzy PID and hybridization of DE & PSO algorithms are described fairly with proper validation.

About the Author

Jyoti Ranjan Nayak received M.Tech degree in Power System and Power Electronics from ITER, Bhubaneswar, India, in 2015. He is at present Ph.D. scholar at NIT, Raipur. His research area includes robust controller applications in power system, application of soft computing, optimization techniques and renewable energy sources.