Title :
Large-scale Hydropower Station Economic Dispatch Based on Immune Algorithm
Author :
Chenguang, Xu ; Maihuan, Zhao
Author_Institution :
North China Inst. of Water Conservancy & Hydroelectr. Power, Zhengzhou
Abstract :
In accordance with the characteristic of large-scale hydropower stations, a minimum-water-consume model was proposed and Immune Algorithm (IA) was used to solve Economical Operation of Hydropower Plant (EOHP) in this paper. Compared the result obtained by IA with those obtained by Genetic Algorithm (GA) and Evolutionary Programming(EP) in a case study, IA showed its effectiveness and good global search performance. And IA was better than GA in solving EOHP problem.
Keywords :
hydroelectric power; power generation dispatch; power generation economics; hydropower station economic dispatch; immune algorithm; minimum-water-consume model; Dynamic programming; Equations; Genetic algorithms; Hydroelectric power generation; Immune system; Large-scale systems; Power engineering and energy; Power generation economics; Resource management; Water resources; Economical Operation of Hydropower Plant; Evolutionary Algorithm; Immune Algorithm; Water management;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4346811
