Optimal power flow method using evolutionary programming

被引:0
作者
Wong, KP [1 ]
Yuryevich, J [1 ]
机构
[1] Univ Western Australia, Artificial Intelligence & Power Syst Res Grp, Nedlands, WA 6009, Australia
来源
SIMULATED EVOLUTION AND LEARNING | 1999年 / 1585卷
关键词
evolutionary programming; optimal power flow; optimisation;
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
This paper reports on an evolutionary programming based method for solving the optimal power flow problem. The method incorporates an evolutionary programming based load flow solution. To demonstrate the global optimisation power of the new method it is applied to the IEEE30 bus test system with highly non-linear generator input/output cost curves and the results compared to those obtained using the method of steepest descent. The results demonstrate that the new method shows great promise for solving the optimal power flow problem when it contains highly non-linear devices.
引用
收藏
页码:405 / 412
页数:8
相关论文
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