Modified Particle Swarm Optimization for Solving Distribution Feeder Reconfiguration Problem with Distributed Generation

被引：0

作者：

Chang, Rung-Fang ^{[1
]}

Chen, Shi-Jaw ^{[1
]}

Chang, Ya-Chin ^{[2
]}

Lu, Chan-Nan ^{[3
]}

机构：

[1] Kao Yuan Univ, Dept Elect Engn, Kaohsiung, Taiwan

[2] Cheng Shiu Univ, Dept Elect Engn, Kaohsiung, Taiwan

[3] Natl Sun Yat Sen Univ, Dept Elect Engn, Kaohsiung, Taiwan

来源：

TENCON 2010: 2010 IEEE REGION 10 CONFERENCE | 2010年

关键词：

Ordinal Optimization (OO); Particle Swarm Optimization (PSO); Feeder Reconfiguration; NETWORK RECONFIGURATION; ORDINAL OPTIMIZATION; DISTRIBUTION-SYSTEMS; LOSS REDUCTION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An ordinal optimization (OO) technique in conjunction with a particle swarm optimization (PSO) method is presented in this paper to solve a feeder reconfiguration problem that aims to maximize distributed generation (DG) penetration in an existing distribution network. A set of good enough solutions obtained from crude models used in OO approach are taken as the initial population of particles for PSO solution in order to speed up solution efficiency in subsequent iterations. A simplified Taipower distribution network is used in this study to test the performance of the proposed method. Test results indicate that the proposed method can be used to obtain a good solution for maximizing DG integration in the distribution network.

引用

页码：1796 / 1801

页数：6

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