Title :
Application of Genetic Algorithm on Hydroelectric Unit Load Optimal Distribution
Author_Institution :
Dept. of Power & Energy, Changchun Inst. of Technol., Changchun, China
Abstract :
Optimal load distribution of the hydroelectric generating units is essential for a hydropower station to achieve economic operation. The application of genetic algorithm on load distribution of the hydroelectric units is presented in this paper. Load distribution problems are analyzed and solved. Compared calculation with AGC is performed on Fengman hydropower units under given loads. The results show that the genetic algorithm has the advantages of quick and reliable results. It´s feasible, effective and strong practical value on hydroelectric unit load optimal distribution.
Keywords :
genetic algorithms; hydroelectric power stations; Fengman hydropower units; genetic algorithm; hydroelectric generating units; hydroelectric unit load optimal distribution; hydropower station; Algorithm design and analysis; Automatic generation control; Encoding; Genetic algorithms; Heuristic algorithms; Hydroelectric power generation; Presses;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6253-7
DOI :
10.1109/APPEEC.2011.5748772
