(Ebook) Bio-Inspired Algorithms in PID Controller Optimization by Ashour, Amira S.; Baskaran, Anand; Dey, Nilanjan; Kallannan, Jagatheesan ISBN 9780429486579, 9780429943386, 9781138598164, 042948657X, 0429943385, 113859816X

(Ebook) Bio-Inspired Algorithms in PID Controller Optimization by Ashour, Amira S.; Baskaran, Anand; Dey, Nilanjan; Kallannan, Jagatheesan ISBN 9780429486579, 9780429943386, 9781138598164, 042948657X, 0429943385, 113859816X

"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 algorithmsProvides some applied applications/examples of the thermal power systemFocusses on power system applications based on the optimization algorithms with different single area and multi-area thermal power systemsReports different cases on the interconnected power systems with providing optimal performance by optimizing the controllers parameters"--Provided by publisher.
Abstract: "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 algorithmsProvides some applied applications/examples of the thermal power systemFocusses on power system applications based on the optimization algorithms with different single area and multi-area thermal power systemsReports different cases on the interconnected power systems with providing optimal performance by optimizing the controllers parameters"--Provided by publisher