Evolutionary programming based optimal power flow algorithm

被引:320
作者
Yuryevich, J [1 ]
Wong, KP [1 ]
机构
[1] Univ Western Australia, Dept Elect & Elect Engn, Artificial Intelligence & Power Syst Res Grp, Nedlands, WA 6907, Australia
基金
澳大利亚研究理事会;
关键词
optimal power flow; optimisation; evolutionary programming;
D O I
10.1109/59.801880
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
This paper develops an efficient and reliable evolutionary programming algorithm for solving the optimal power flow (OPF) problem. The class of curves used to describe generator performance does not limit the algorithm and the algorithm is also less sensitive to starting points. To improve the speed of convergence of the algorithm as well as its ability to handle larger systems, the algorithm is enhanced with gradient information. In the paper, the main elements of the evolutionary programming based OFF algorithm are presented. The algorithm is then demonstrated on the IEEE 30 bus test system.
引用
收藏
页码:1245 / 1250
页数:6
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