Imperialist Competitive Algorithm based optimal power flow

被引：0
|
作者：
Ranjbar, Hossein [1 ]
Zarei, Seyed Fariborz [1 ]
Hosseini, Seyed Hamid [1 ]
机构：
[1] Sharif Univ Technol, Dept Elect Engn, Tehran, Iran
来源：
2014 22ND IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) | 2014年
关键词：
Imperialist competitive algorithm; intelligent algorithm; optimal power flow;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a new approach based on Imperialist Competitive Algorithm (ICA) optimization is proposed for solving the optimal power flow (OPF) problem. ICA is one of the evolutionary optimization algorithms which are based on colonialism as a social-political phenomenon. The objective of the OPF problem is to minimize the system total generation cost with regard to some inequality and equality constraints such as the units' active and reactive power output limits, generation/demand balance, power flow limit of lines, voltage on busses, and transformer taps. To validate the proposed algorithm, it is applied to the IEEE 30-buses system and results are compared with those of genetic algorithm and particle swarm optimization and the effectiveness of the proposed algorithm is justified.
引用
收藏
页码：746 / 750
页数：5
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