- Cover
- Half Title
- Title Page
- Copyright
- Dedication
- Preface
- Acknowledgments
- 1 Intelligent Power System Operation and Control: Japan Case Study
- 2 Automatic Generation Control (AGC): Fundamentals and Concepts
- 3 Intelligent AGC: Past Achievements and New Perspectives
- 3.1 Fuzzy Logic AGC
- 3.2 Neuro-Fuzzy and Neural-Networks-Based AGC
- 3.3 Genetic-Algorithm-Based AGC
- 3.4 Multiagent-Based AGC
- 3.5 Combined and Other Intelligent Techniques in AGC
- 3.6 AGC in a Deregulated Environment
- 3.7 AGC and Renewable Energy Options
- 3.8 AGC and Microgrids
- 3.9 Scope for Future Work
- 3.9.1 improvement of Modeling and analysis Tools
- 3.9.2 Develop effective intelligent Control Schemes for Contribution of Dgs/ReSs in the agC issue
- 3.9.3 Coordination between Regulation Powers of Dgs/ReSs and Conventional generators
- 3.9.4 improvement of Computing Techniques and Measurement Technologies
- 3.9.5 Use of advanced Communication and information Technology
- 3.9.6 Update/Define New grid Codes
- 3.9.7 Revising of existing Standards
- 3.9.8 Updating Deregulation Policies
- 3.10 Summary
- References
- 4 AGC in Restructured Power Systems
- 5 Neural-Network-Based AGC Design
- 6 AGC Systems Concerning Renewable Energy Sources
- 7 AGC Design Using Multiagent Systems
- 8 Bayesian-Network-Based AGC Approach
- 9 Fuzzy Logic and AGC Systems
- 10 Frequency Regulation Using Energy Capacitor System
- 11 Application of Genetic Algorithm in AGC Synthesis
- 12 Frequency Regulation in Isolated Systems with Dispersed Power Sources
- Index
INTELLYIGENT
AUTOMATIC
GENERATION
CONTROL
HASSAN BEVRANI
University of Kurdistan
Kumamoto University
TAKASHI HIYAMA
Kumamoto University
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