Solving Distribution Feeder Reconfiguration and concurrent DG Installation problems for Power loss Minimization by Multi Swarm Cooperative PSO algorithm

被引：0

作者：

Jena, Soumitri ^{[1
]}

Chauhan, Sushil ^{[1
]}

机构：

[1] Natl Inst Technol, Dept Elect Engn, Hamirpur, India

来源：

2016 IEEE/PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXPOSITION (T&D) | 2016年

关键词：

reconfiguration; distribution system; distributed generation; power loss; particle swarm optimization; NETWORK RECONFIGURATION; DISTRIBUTION-SYSTEMS;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper presents a novel combinational approach to network reconfiguration and DG installation problems for power loss minimization in distribution network. A multi swarm cooperative population based PSO method is used keeping in view the complexity of maintaining the radial structure and operational constraints. Multi swarm cooperative particle swarm optimization (MC-PSO) algorithm is an extension of PSO algorithm which is based on the cooperative behavior of different organisms living in an eco-system for surviving. The optimal points for DG installation and DG sizing are carried out simultaneously. Different approaches for loss minimization are undertaken and compared with each other. The effectiveness of the approach is tested with IEEE 33-bus and 69-bus test systems with encouraging results.

引用

页数：9

共 39 条

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