ABSTRACT
Automatic generation control (AGC) synthesis and analysis in power systems has a long history and its literature is voluminous. This chapter highlights the application of intelligent techniques on AGC synthesis, and discusses basic control configurations with achievements. It describes the new challenges and key issues concerning system restructuring and integration of distributed generators and renewable energy sources. Because of simplicity, robustness, and reliability, fuzzy logic is used in almost all fields of science and technology, including solving a wide range of control problems in power system control and operation. The chapter reviews the applications of fuzzy logic, neural networks, genetic algorithms, multiagent systems, and combined intelligent techniques and evolutionary optimization approaches on the AGC synthesis problem. It provides an introduction to AGC design in deregulated environments, and presents AGC analysis and synthesis in the presence of renewable energy sources and microgrids, including literature review, worldwide status, impacts, and technical challenges.
