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

fYear

2007

Firstpage

715

Lastpage

717

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CHICC.2006.4346811

Filename

4346811

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1638555