Optimal load distribution of microgrid based on improved self-adaptive genetic algorithm

被引：0
|
作者：
Lin, Wei [1 ]
Chen, Guang-Tang [2 ]
Qiu, Xiao-Yan [2 ]
Wang, Song [2 ]
Li, Rui [2 ]
Meng, Peng [2 ]
Ren, Zeng [2 ]
机构：
[1] Communication Center of Sichuan Electric Power Corporation, Chengdu 610041, China
[2] Provincial-Level Key Lab. of Smart Grid, School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2012年 / 40卷 / 12期
关键词：
Costs - Electric power plant loads - Electric load management;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The load distribution optimization in microgrid is given special attention to make the total power generation cost minimum by optimizing the power generated by each micro-source while satisfying the constraints on system operation and demands of loads in this paper. A mathematical model is developed for load distribution optimization in a microgrid taking into account the constraints of power system operation, load demand, micro-power fuel consumption, maintenance costs and start-up costs, as well as dynamic loss of network capacity and purchase or sale prices of electricity, etc. The economic operations of microgrid system at island model and grid-connected model are studied. And it proposes a genetic algorithm based on self-adaptive real-coded genetic algorithm to solve the problem of load distribution optimization in microgrid. Lastly, an illustrative system is calculated to verify the effectiveness of the algorithm proposed.
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页码：49 / 55
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