Multi-objective Optimal Power Flow solution Based on Differential Harmony Search Algorithm

被引：0
|
作者：
Ren, Ping [1 ]
Li, Nan [2 ]
机构：
[1] Shenyang Univ, Sch Informat Engn, Shenyang, Peoples R China
[2] Shenyang Univ, Sch Teaching, Shenyang, Peoples R China
来源：
2014 10TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC) | 2014年
关键词：
Multi-objective; Optimal power flow; Differential harmony search algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the nonlinear optimal control problem is formulated as a multi-objective mathematical optimization problem. Harmony search (HS) algorithm is one of the new heuristic algorithms. The differential harmony search (DHS) optimization algorithm is introduced for the first time in solving the optimal power flow(OPF) solution. A case on optimal power flow problem in the IEEE 30 bus system is presented to show the methodology's feasibility and efficiency, compared with the existing optimal power flow problem in power system methods, the search time of the DHS optimization algorithm is shorter and the result is close to the ideal solution, simultaneously.
引用
收藏
页码：326 / 329
页数：4
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