Central Library

Normal view MARC view ISBD view

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

By: Kallannan, Jagatheesan [author.].
Contributor(s): Ashour, Amira S [author.] | Baskaran, Anand [author.] | Dey, Nilanjan, 1984- [author.] | Taylor and Francis.
Material type: materialTypeLabelBookSeries: Intelligent signal processing and data analysis: Publisher: Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, 2018Edition: First edition.Description: 1 online resource (90 pages) : 32 illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9780429943362 (e-book: Mobi).Subject(s): TECHNOLOGY & ENGINEERING / Electrical | TECHNOLOGY & ENGINEERING / Power Resources / Electrical | Cogeneration of electric power and heat | Electric power systems -- Load dispatching -- Mathematics | Interconnected electric utility systems -- Automation | Mathematical optimization | Nature-inspired algorithms | PID controllers | TECHNOLOGY & ENGINEERING / MechanicalAdditional physical formats: Print version: : No titleDDC classification: 621.319/1 Online resources: Click here to view.
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.
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.
    average rating: 0.0 (0 votes)
No physical items for this record

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.

There are no comments for this item.

Log in to your account to post a comment.