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Bio-inspired algorithms in pid controller optimization / by Jagatheesan Kallannan, Anand Baskaran, Nilanjan Dey and Amira S. Ashour

By: Contributor(s): Material type: Computer fileComputer fileLanguage: English Publication details: Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, 2018Edition: First editionDescription: 1 online resource (90 pages)ISBN:
  • 9780429943386
Subject(s): DDC classification:
  • 621.319/1
Online resources:
Contents:
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
Summary: 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
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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

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

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