Key Cutting Algorithm for Solving Optimal Power Flow Problems

被引：0

作者：

Leeton, Uthen ^{[1
]}

Kulworawanichpong, Thanatchai ^{[1
]}

机构：

[1] Suranaree Univ Technol, Sch Elect Engn, Nakhon Ratchasima 30000, Thailand

来源：

2011 IEEE 54TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS) | 2011年

关键词：

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：

This paper proposes key cutting algorithm (KCA) for solving optimal power flow problems. The problem objective function used in this paper is a fuel cost function. The solutions obtained by the KCA are compared with those obtained by sequential quadratic programming (SQP) and genetic algorithms (GA). Three IEEE standard test power systems (6-bus, 14-bus and 30-bus) were employed. As a result, all search algorithms can solve the optimal power flow problems however the key cutting algorithm-based optimal power flow gives the best solutions over the other two optimal power flow methods for the average and standard deviation values of the fuel cost.

引用

页数：4

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