Genetic algorithms and their applications in power systems

Author: Xiong Xinyin, edited by Wu Yaowu
Publisher:
Publish Date: 2002-01-01
Features: This book focuses on introducing genetic algorithms and their applications in power systems. To facilitate readers' understanding and practical problem-solving, it provides detailed explanations of the fundamental principles and solution processes of the algorithm, along with illustrative examples for reference. The book covers the following content:
- Basic principles of genetic algorithms, problem-solving processes, and simple examples;
- Mathematical models of power supply planning and genetic algorithm-based power supply planning models;
- Basic knowledge of transmission network planning, mathematical models of transmission network planning, and genetic algorithm-based transmission network planning models;
- Mathematical models of power system reactive power optimization, an overview of reactive power optimization methods, and the application of genetic algorithms in reactive power optimization planning;
- Basic concepts of power markets, technical support systems, electricity pricing, and the application of genetic algorithms in power market bidding mechanisms.
This book can serve as a textbook for senior undergraduate and graduate students in electrical engineering and automation, as well as a reference for researchers and engineering professionals in related fields.