Economic Operation of Two Area Power System through Gravitational Search Algorithm

被引：0

作者：

Anumeha ^{[1
]}

Yadav, K. B. ^{[1
]}

Agarwal, S. ^{[2
]}

机构：

[1] Natl Inst Technol, Dept Elect Engn, Jamshedpur, Bihar, India

[2] RVS Coll Engn & Tech, Dept Elect Engn, Jamshedpur, Bihar, India

来源：

2015 INTERNATIONAL CONFERENCE ON RECENT DEVELOPMENTS IN CONTROL, AUTOMATION AND POWER ENGINEERING (RDCAPE) | 2015年

关键词：

Optimization; PSO; GSA; ELD; Power system; DISPATCH; OPTIMIZATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new Meta heuristic optimization method based on Newton's laws of gravity and motion has been developed by Rashedi E. et al. known as Gravitational Search Algorithm (GSA). In this paper GSA is implemented to economic operation of a two area power system and computes how much power has to be generated internally in an area and how much power has to be borrowed from other area through tie-line for a specified load in most economical sense. This method is explained with an example and the result obtained by the proposed method is compared with by particle swarm optimization (PSO) as reported in literature. It has been shown that this method is more efficient and takes less computation time than PSO.

引用

页码：194 / 198

页数：5

共 26 条

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