Artificial Intelligence in Power System Optimization
In recent years, there have been many books published on power system optimization. Most of these books do not cover applications of artifi cial intelligence based methods. Moreover, with the recent increase of artifi cial intelligence applications in various fi elds, it is becoming a new trend in solving optimization problems in engineering in general due to its advantages of being simple and effi cient in tackling complex problems. For this reason, the application of artifi cial intelligence in power systems has attracted the interest of many researchers around the world during the last two decades. This book is a result of our effort to provide information on the latest applications of artifi cial intelligence to optimization problems in power systems before and after deregulation.
The book is intended as a reference for graduate students in electric power system management, and will also be useful for researchers who are interested in this fi eld. The contents of the book are based on recent studies specializing in the application of artificial intelligence such as particle swarm optimization, evolutionary programming, fuzzy logic, and augmented Lagrange Hopfi eld network to power system optimization problems. Issues widely considered in power system operation comprise economic dispatch, unit commitment, hydrothermal scheduling, optimal power flow, reactive power dispatch, and available transfer capacity. Moreover, subjects of the electricity market, such as day-ahead generating scheduling and transmission pricing, are also included.
The purpose of this book is to provide students of electric power system management the basic knowledge of different optimization problems in the power system operation of utilities as well as the electricity market. The presentation is simple and easy to understand, and also up to date, especially in methods adopting artificial intelligence. At the end of each chapter, practical problems have been provided. The book has been written with the help of several experts. We hope to get the readers interested in fi nding state-of-the-art solutions based on artificial intelligence to power system optimization.
|May 30, 2020
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