Economic load dispatch using improved gravitational search algorithm

被引：2

作者：

Huang Yu ^{[1
,2
]}

Wang Jia-rong ^{[3
]}

Guo Feng ^{[4
]}

机构：

[1] Tsinghua Univ, Dept Thermal Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China

[2] North China Elect Power Univ, Sch Control & Comp Engn, Baoding 071003, Peoples R China

[3] North China Elect Power Univ, Hebei Engn Res Ctr Simulat & Optimized Control Po, Baoding, Peoples R China

[4] Xiamen Univ, Sch Informat Sci & Engn, Dept Cognit Sci, Xiamen, Peoples R China

来源：

2ND ISPRS INTERNATIONAL CONFERENCE ON COMPUTER VISION IN REMOTE SENSING (CVRS 2015) | 2016年 / 9901卷

关键词：

economic load dispatch; gravitational search algorithm; mutation operation; OPTIMIZATION; NONCONVEX;

D O I：

10.1117/12.2234725

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an improved gravitational search algorithm(IGSA) to solve the economic load dispatch(ELD) problem. In order to avoid the local optimum phenomenon, mutation processing is applied to the GSA. The IGSA is applied to solve the economic load dispatch problems with the valve point effects, which has 13 generators and a load demand of 2520 MW. Calculation results show that the algorithm in this paper can deal with the ELD problems with high stability.

引用

页数：6

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