Bio-Inspired Algorithms in PID Controller Optimization
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 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

1128881800
Bio-Inspired Algorithms in PID Controller Optimization
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 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

29.99 In Stock
Bio-Inspired Algorithms in PID Controller Optimization

Bio-Inspired Algorithms in PID Controller Optimization

Bio-Inspired Algorithms in PID Controller Optimization
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Bio-Inspired Algorithms in PID Controller Optimization

Bio-Inspired Algorithms in PID Controller Optimization

Overview

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 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

Product Details

ISBN-13: 9780367606961
Publisher: CRC Press
Publication date: 06/30/2020
Series: Intelligent Signal Processing and Data Analysis
Pages: 90
Product dimensions: 5.44(w) x 8.50(h) x (d)

About the Author

Jagatheesan Kallannan, Anand Baskaran, Nilanjan Dey, Amira S. Ashour

Table of 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

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