1st Edition

Power System Load Frequency Control
Classical and Adaptive Fuzzy Approaches

ISBN 9781498745574
Published February 21, 2017 by CRC Press
232 Pages 5 Color & 112 B/W Illustrations

USD $165.00

Prices & shipping based on shipping country


Book Description

This title presents a balanced blend between classical and intelligent load frequency control techniques, which is detrminant for continous supply of power loads. The classical control techniques introduced in this book include PID, pole placement, observer-based state feedback, static and dynamic output feedback controllers while the intelligent control techniques explained here are of adaptive fuzzy control types. This book will analyze and design different decentralized LF controllers in order to maintain the frequency deviations of each power area within the limits and keep the tie-line power flow between different power areas at the scheduled levels.

Table of Contents

1. Load Frequency Control of Power Systems. The control problems of power systems. Decoupling property of power system Control. The Power-frequency (Pf) control channel. Automatic generation control of interconnected power areas. References and further reading. 2. Modelling of Multi-area Power Systems. Introduction. State-space model of an isolated power area. Pole placement controller. State feedback control with integral action. State estimation. State space model of multi-area power systems. Optimal control-based output feedback of multi-area power systems. References and further reading. 3. LFC of Deregulated Multi-area Power Systems. Introduction. Deregulated power system. Block diagram model of a deregulated multi-area LFC system. References and further readings. 4. PID LFC Controllers. Introduction. PID controller architecture. Modified PID controller architectures. Tuning of PID controllers. Model reduction and tuning of PID controllers. References and further readings. 5. Decentralized LFC Design for Multi-area Power System. Introduction. Decentralized PID Controllers. Decentralized PID Controllers for LFC with time delay. References and further reading. 6. Fuzzy Systems and Functions Approximation. Introduction. Types of Fuzzy Systems. Details of Fuzzy System with Fuzzifier and Defuzzifier. Universal Functions Approximation using Fuzzy Systems. References and further reading. 7. Non-adaptive Fuzzy Load Frequency Control. Introduction. Stable fuzzy Control for SISO linear systems. Optimal fuzzy Control for SISO linear systems. References and further reading. 8. Adaptive Fuzzy Control Techniques. Introduction. Types of Adaptive Fuzzy Control. Tracking Controller. Direct Adaptive Fuzzy Tracking Controller. Indirect Adaptive Fuzzy Tracking Controller. References and further reading. 9. Direct Adaptive Fuzzy Load Frequency Control. Introduction. Controller Canonical Form of Multi-area Power System. DAFLC Load Frequency Control for Multi-area Power System. References and further reading. 10. Indirect Adaptive Fuzzy Load Frequency Control. Introduction. IAFLC Load Frequency Control for Multi-area Power System. References and further reading.

View More



Hassan A. Yousef received the B.Sc. (honor) and M.Sc. degrees in Electrical Engineering from Alexandria University, Alexandria, Egypt in 1979 and 1983 respectively. He obtained the Ph.D. degree in Electrical and Computer Engineering from University of Pittsburgh, PA, USA in 1989. He spent 15 years in Alexandria University as assistant Professor, associate Professor and Professor. He joined Qatar University for 6 years as assistant Professor and then associate Professor. In Qatar University he held the position of acting head of Electrical and Computer Engineering Department. He was a visiting associate Professor in University of Florida, Gainesville in summer 1995. Now he is with the Department of Electrical and Computer Engineering, Sultan Qaboos University, Sultanate of Oman, Muscat. Dr. Yousef supervised 28 M.Sc. theses (completed) and 8 Ph.D. dissertations (completed). His publication records include 90 papers in refereed journals and international conferences in the area of control system, nonlinear control, adaptive fuzzy control and intelligent control applications to power systems and electric drives.