With an emphasis on practical methods for computer analysis and design, this book thoroughly explains the basic principles of power system AGC systems. It presents frequency response models, intelligent structures, and mathematical algorithms, which are used to adapt artificial intelligent control techniques for AGC issues. The authors consider physical constraints and engineering aspects of AGC systems and examine most developed intelligent control strategies, using real-time simulations. Rather than describing sophisticated mathematical analytical methods, the text develops appropriate…mehr
With an emphasis on practical methods for computer analysis and design, this book thoroughly explains the basic principles of power system AGC systems. It presents frequency response models, intelligent structures, and mathematical algorithms, which are used to adapt artificial intelligent control techniques for AGC issues. The authors consider physical constraints and engineering aspects of AGC systems and examine most developed intelligent control strategies, using real-time simulations. Rather than describing sophisticated mathematical analytical methods, the text develops appropriate concepts relative to the intelligent AGC problem in real-world power systems.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
Intelligent Power System Operation and Control: Japan Case Study. Automatic Generation Control (AGC): Fundamentals and Concepts. Intelligent AGC: Past Achievements and New Perspectives. AGC in Restructured Power Systems. Neural-Network-Based AGC Design. AGC Systems Concerning Renewable Energy Sources. AGC Design Using Multiagent Systems. Bayesian-Network-Based AGC Approach. Fuzzy Logic and AGC Systems. Frequency Regulation Using Energy Capacitor System. Application of Genetic Algorithm in AGC Synthesis. Frequency Regulation in Isolated Systems with Dispersed Power Sources.
Intelligent Power System Operation and Control: Japan Case Study. Automatic Generation Control (AGC): Fundamentals and Concepts. Intelligent AGC: Past Achievements and New Perspectives. AGC in Restructured Power Systems. Neural-Network-Based AGC Design. AGC Systems Concerning Renewable Energy Sources. AGC Design Using Multiagent Systems. Bayesian-Network-Based AGC Approach. Fuzzy Logic and AGC Systems. Frequency Regulation Using Energy Capacitor System. Application of Genetic Algorithm in AGC Synthesis. Frequency Regulation in Isolated Systems with Dispersed Power Sources.
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