Minimizing Power Loss in Distribution System by Optimal Sizing and Sitting of Distributed Generators with Network Reconfiguration using Grey Wolf and Particle Swarm Optimizers

被引：0

作者：

Abu Haggar, Mirna Fouad ^{[1
]}

Beshr, Eman ^{[1
]}

Eteiba, Magdy B. ^{[2
]}

机构：

[1] Arab Acad Sci & Technol, Dept Elect & Control Engn, Cairo, Egypt

[2] Fayoum Univ, Dept Elect Power Engn, Cairo, Egypt

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2018 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE) | 2018年

关键词：

AC power flow; Grey Wolf Optimizer (GWO); Particle Swarm Optimizer (PSO); system reconfiguration; distributed generators (DG); renewable energy resources (RES); meta-heuristic algorithms; losses reduction; voltage profile;

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：

This paper presents two meta-heuristic based algorithms, Grey Wolf Optimizer (GWO) and Particle Swarm Optimizer (PSO), to solve network reconfiguration problem in the presence of installing multiple renewable Distributed Generators (DGs). These algorithms are applied to IEEE 33-bus to minimize the real power loss. The results clearly indicate that there is a considerable reduction in the real power loss, reactive power loss, and improvement of the voltage profile.

引用

页数：6

共 16 条

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