Crow search algorithm for solving optimal power flow problem

被引：0

作者：

Saha, Anulekha ^{[1
]}

Bhattacharya, Aniruddha ^{[1
]}

Das, Priyanath ^{[1
]}

Chakraborty, Ajoy Kumar ^{[1
]}

机构：

[1] NIT Agartala, Dept Elect Engn, West Tripura 799055, Tripura, India

来源：

PROCEEDINGS OF THE 2017 IEEE SECOND INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER AND COMMUNICATION TECHNOLOGIES (ICECCT) | 2017年

关键词：

CSA; cost minimization; loss minimization; optimal power flow; BIOGEOGRAPHY-BASED OPTIMIZATION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A new evolutionary optimization technique, crow search algorithm (CSA) is proposed in this paper for solving the optimal power flow (OPF) problem. The algorithm has been implemented on IEEE 30 bus test system to check its effectiveness in solving the OPF problem after satisfying various operational constraints. A comparative study of the results is presented in this paper. Analysis of the results reveals that the algorithm is effective in producing superior results for the

引用

页数：8

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