Optimal Allocation of Generalized Power Sources in Distribution Network Based on Multi-Objective Particle Swarm Optimization Algorithm

被引:0
作者
Li Ran [1 ]
Yuan Jingwei [2 ]
Song Yundong [2 ]
Yang Yingxuan [2 ]
Meng Tao [3 ]
机构
[1] Liaoning Elect Power Co Ltd, Shenyang Power Supply Co, Shenyang 110006, Liaoning, Peoples R China
[2] Liaoning Elect Power Co Ltd, Elect Power Res Inst, Shenyang 110006, Liaoning, Peoples R China
[3] Jilin Elect Power Co State Grid, Elect Power Res Inst, Changchun 130021, Jilin, Peoples R China
来源
2016 THE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS AND MECHANICAL ENGINEERING (ICMME 2016) | 2017年 / 95卷
关键词
GENERATION;
D O I
10.1051/matecconf/20179515003
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Optimal allocation of generalized power sources in distribution network is researched. A simple index of voltage stability is put forward. Considering the investment and operation benefit, the stability of voltage and the pollution emissions of generalized power sources in distribution network, a multi-objective optimization planning model is established. A multi-objective particle swarm optimization algorithm is proposed to solve the optimal model. In order to improve the global search ability, the strategies of fast non-dominated sorting, elitism and crowding distance are adopted in this algorithm. Finally, tested the model and algorithm by IEEE-33 node system to find the best configuration of GP, the computed result shows that with the generalized power reasonable access to the active distribution network, the investment benefit and the voltage stability of the system is improved, and the proposed algorithm has better global search capability.
引用
收藏
页数:5
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