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CRC Press
30 June 2020
Power generation & distribution; Algorithms & data structures
This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms. Comparative studies to evaluate the performance of different optimization techniques in terms of the settling time, overshoot and undershoot responses of the frequency deviations, tie-line power flow deviations, and the area control error are included, supported by examples. The book also includes different scenarios of the load frequency controller for single area as well as multi-area thermal power generating unit considering different algorithms.

Key Features:

Highlights the importance of tuning the power system controller parameters with emphasis on bio-inspiration algorithms Provides some applied applications/examples of the thermal power system Focusses on power system applications based on the optimization algorithms with different single area and multi-area thermal power systems Reports different cases on the interconnected power systems with providing optimal performance by optimizing the controller's parameters
By:   Jagatheesan Kallannan (Department of Electrical and Electronics Engineering Pavai Engineering College Namakkal Tamilnadu India), Anand Baskaran (Department of Electrical and Electronics Engineering, Hindusthan College of Engineering and Technology Coimbatore, Tamilnadu, India), Nilanjan Dey, Amira S. Ashour (Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Egypt)
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 216mm,  Width: 140mm, 
Weight:   168g
ISBN:   9780367606961
ISBN 10:   0367606968
Pages:   76
Publication Date:   30 June 2020
Audience:   College/higher education ,  Primary
Format:   Paperback
Publisher's Status:   Active
Chapter 1 Introduction Chapter 2 Load Frequency Control of Single Area Thermal Power System with Biogeography-Based Optimization Technique Chapter 3 Automatic Generation Control with Superconducting Magnetic Energy Storage Unit and Ant Colony Optimization-PID Controller in Multiarea Interconnected Thermal Power System Chapter 4 Flower Pollination Algorithm Optimized PID Controller for Performance Improvement of Multiarea Interconnected Thermal Power System with Nonlinearities Chapter 5 Challenges and Future Perspectives

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