1st Edition
Intelligent Automatic Generation Control
Intelligent Power System Operation and Control: Japan Case Study
Application of Intelligent Methods to Power Systems
Application to Power System Planning
Application to Power System Control and Restoration
Future Implementations
Automatic Generation Control (AGC): Fundamentals and Concepts
AGC in a Modern Power System
Power System Frequency Control
Frequency Response Model and AGC Characteristics
A Three-Control Area Power System Example
Intelligent AGC: Past Achievements and New Perspectives
Fuzzy Logic AGC
Neuro-Fuzzy and Neural-Networks-Based AGC
Genetic-Algorithm-Based AGC
Multiagent-Based AGC
Combined and Other Intelligent Techniques in AGC
AGC in a Deregulated Environment
AGC and Renewable Energy Options
AGC and Microgrids
Scope for Future Work
AGC in Restructured Power Systems
Control Area in New Environment
AGC Configurations and Frameworks
AGC Markets
AGC Response and an Updated Model
Neural-Network-Based AGC Design
An Overview
ANN-Based Control Systems
Flexible Neural Network
Bilateral AGC Scheme and Modeling
FNN-Based AGC System
Application Examples
AGC Systems Concerning Renewable Energy Sources
An Updated AGC Frequency Response Model
Frequency Response Analysis
Simulation Study
Emergency Frequency Control and RESs
Key Issues and New Perspectives
AGC Design Using Multiagent Systems
Multiagent System (MAS): An Introduction
Multiagent Reinforcement-Learning-Based AGC
Using GA to Determine Actions and States
An Agent for β Estimation
Bayesian-Network-Based AGC Approach
Bayesian Networks: An Overview
AGC with Wind Farms
Proposed Intelligent Control Scheme
Implementation Methodology
Application Results
Fuzzy Logic and AGC Systems
Study Systems
Polar-Information-Based Fuzzy Logic AGC
PSO-Based Fuzzy Logic AGC
Frequency Regulation Using Energy Capacitor System
Fundamentals of the Proposed Control Scheme
Study System
Simulation Results
Evaluation of Frequency Regulation Performance
Application of Genetic Algorithm in AGC Synthesis
Genetic Algorithm: An Overview
Optimal Tuning of Conventional Controllers
Multiobjective GA
GA for Tracking Robust Performance Index
GA in Learning Process
Frequency Regulation in Isolated Systems with Dispersed Power Sources
Configuration of Multiagent-Based AGC System
Configuration of Laboratory System
Experimental Results
Biography
H. Bevrani was born in Kurdistan, Iran. He received Ph.D. degree from Osaka University, Osaka, Japan, in 2004, in electrical engineering. From 2004 to 2006, he was a Postdoctoral Fellow at Kumamoto University, Kumamoto, Japan. From 2007 to 2008, he was a Senior Research Fellow at Queensland University of Technology, Brisbane, Australia. From 2000, he has been an academic member of University of Kurdistan. At time of writing this book, he was a professor in Kumamoto University. His special fields of interest include intelligent and robust control applications in Power system and Power electronic industry. Prof. Bevrani is a senior member of Institute of Electrical and Electronics Engineers (IEEE), member of the Institute of Electrical Engineers of Japan (IEEJ) and the Institution of Engineering and Technology (IET).
T. Hiyama was born in Japan on March 14, 1947. He received the B.E., M.S., and Ph.D. degrees all in electrical engineering from Kyoto University, Kyoto, Japan, in 1969, 1971, and 1980, respectively. Since 1989, he has been a Professor in the Department of the Electrical and Computer Engineering, Kumamoto University, Kumamoto, Japan. His current research interests include the application of intelligent systems to power system operation, management, and control. Prof. Hiyama is a senior member of Institute of Electrical and Electronics Engineers (IEEE), a member of the Institute of Electrical Engineers of Japan (IEEJ) and the Japan Solar Energy Society.
"I enjoyed reading the book and found it informative. It is certainly a book I would recommend to postgraduate students and researchers in the area of intelligent control systems and their application to power system control. My congratulations to the authors."
—Pouyan Pourbeik, IEEE Power and Energy Magazine
