Improved genetic algorithm for economic dispatch of power systems having special units

被引:0
作者
Chiang, Chao-Lung [1 ]
Chai, Chang-Wei [1 ]
Wang, Chia-An [1 ]
机构
[1] Nan Kai Inst Technol, Dept Elect Engn, Nan Tou, Taiwan
来源
2006 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2006年
关键词
genetic algorithm; economic dispatch;
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 presents an improved genetic algorithm with multiplier updating method (IGAMUM) to solve the power economic dispatch problem (PEDP), constrained by reserve and prohibited operating zones (POZ). A genetic algorithm (GA) equipped with the improved evolutionary direction operator (IEDO) and migration called the improved genetic algorithm (IGA) is proposed, which can efficiently search and explore solutions. The multiplier updating method (MUM) is introduced to avoid deforming the augmented Lagrange function and resulting in difficulty of solution searching. The proposed method combining with the IGA and the MUM can use a wide range of penalty parameters and a small population size in evolutionary computation. Two examples are investigated, and the computational results of the proposed method are compared with that of the previous methods.
引用
收藏
页码:98 / +
页数:2
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