Research of Multi-objective Optimal Dispatching for Microgrid Based on Improved Genetic Algorithm

被引：0
|
作者：
Peng, Daogang [1 ,3 ]
Qiu, Haiwei [2 ]
Zhang, Hao [1 ]
Li, Hui [1 ]
机构：
[1] Shanghai Univ Elect Power, Coll Automat Engn, Shanghai 200090, Peoples R China
[2] Fujian Elect Power Co Ltd, Longyan Power Supply Co, Longyan 364000, Peoples R China
[3] Shanghai Key Lab Power Stn Automat Technol, Shanghai 200090, Peoples R China
来源：
2014 IEEE 11TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC) | 2014年
关键词：
microgrid; Multi-objective; optimal dispatching; ASAGA;
D O I：
暂无
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
According to the microgrid which contains a variety of distributed generations, a Multi-objective optimal dispatching model for microgrid is proposed, These objectives include the operation cost, sewage treatment cost and the comprehensive benefit cost. The multi-objective is converted into a nonlinear single objective optimization problem through the maximum fuzzy membership. Considering the influence of the distributed generation characteristics on the optimal dispatching of microgrid and according to a certain control strategy, the economic operation of the optimum scheme was obtained by Adaptive Simulated Annealing Genetic Algorithm (ASAGA).
引用
收藏
页码：69 / 73
页数：5
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