Bio-Inspired Algorithms in PID Controller Optimization: Intelligent Signal Processing and Data Analysis
Autor Jagatheesan Kallannan, Anand Baskaran, Nilanjan Dey, Amira S. Ashouren Limba Engleză Hardback – iun 2018
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
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Specificații
ISBN-13: 9781138598164
ISBN-10: 113859816X
Pagini: 90
Ilustrații: 27
Dimensiuni: 138 x 216 x 12 mm
Greutate: 0.25 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Intelligent Signal Processing and Data Analysis
ISBN-10: 113859816X
Pagini: 90
Ilustrații: 27
Dimensiuni: 138 x 216 x 12 mm
Greutate: 0.25 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Intelligent Signal Processing and Data Analysis
Cuprins
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
Notă biografică
Jagatheesan Kallannan, Anand Baskaran, Nilanjan Dey, Amira S. Ashour
Descriere
This book discusses in-depth role of optimization to optimize the controller parameters. Many comparative studies to evaluate the performance of different optimization techniques are included with different scenarios of the load frequency controller for single area as well as multi-area thermal power generating unit considering different algorithms.