Economic Operation Theory and Algorithm Implementation of Hydropower Stations

Author: Xu Chenguang
Publisher:
Publish Date: 2006-01-01
Features: The economic operation of power stations can increase the economic benefits of hydropower stations by 1% to 3%. For a country like China, which is a major hydropower producer and faces increasingly prominent energy supply and demand imbalances, this holds significant importance. This book investigates the key technical issues of hydropower station internal economic operation, establishes a theoretical and model system for the economic operation of hydropower stations using new methods and technologies, and explores the design and development techniques for quasi-real-time economic operation systems, which facilitates their commercialization. The book includes source code for calculating turbine flow consumption based on radial basis function neural networks and for solving load distribution using dynamic programming, genetic algorithms, and evolutionary programming. The content of this book covers multiple disciplines, including hydrology, water resources, systems theory, and computer science. It can serve as a reference textbook for senior undergraduate and graduate students in hydropower and water conservancy engineering, systems engineering, and as a selected reading for personnel in hydropower enterprises. The economic operation of power stations can increase the economic benefits of hydropower stations by 1 to 3, which is of great significance for a country like China, a major hydropower producer with increasingly prominent energy supply and demand imbalances. This book investigates the key technical issues of hydropower station internal economic operation, establishes a theoretical and model system for the economic operation of hydropower stations using new methods and technologies, and explores the design and development techniques for quasi-real-time economic operation systems, which facilitates their commercialization. The book includes source code for calculating turbine flow consumption based on radial basis function neural networks and for solving load distribution using dynamic programming, genetic algorithms, and evolutionary programming. The content of this book covers multiple disciplines, including hydrology, water resources, systems theory, and computer science. It can serve as a reference textbook for senior undergraduate and graduate students in hydropower and water conservancy engineering, systems engineering, and as a selected reading for personnel in hydropower enterprises.