Bio-inspired algorithms in pid controller optimization /
Kallannan, Jagatheesan
Bio-inspired algorithms in pid controller optimization / by Jagatheesan Kallannan, Anand Baskaran, Nilanjan Dey and Amira S. Ashour - First edition - Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, 2018 - 1 online resource (90 pages)
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
9780429943386
Mathematical optimization
Electric power systems
TECHNOLOGY & ENGINEERING--Electrical
TECHNOLOGY & ENGINEERING--Mechanical
TECHNOLOGY & ENGINEERING--Power Resources--Electrical
Cogeneration of electric power and heat
Interconnected electric utility systems
Nature-inspired algorithms
PID controllers
621.319/1
Bio-inspired algorithms in pid controller optimization / by Jagatheesan Kallannan, Anand Baskaran, Nilanjan Dey and Amira S. Ashour - First edition - Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, 2018 - 1 online resource (90 pages)
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
9780429943386
Mathematical optimization
Electric power systems
TECHNOLOGY & ENGINEERING--Electrical
TECHNOLOGY & ENGINEERING--Mechanical
TECHNOLOGY & ENGINEERING--Power Resources--Electrical
Cogeneration of electric power and heat
Interconnected electric utility systems
Nature-inspired algorithms
PID controllers
621.319/1