Load Model Effect on Distributed Generation Allocation and Feeders' Reconfiguration in Unbalanced Distribution Systems

被引：0

作者：

Zidan, Aboelsood ^{[1
]}

Al-Abri, Rashid S. ^{[2
]}

El-Saadany, Ehab F. ^{[3
]}

机构：

[1] Assiut Univ, Dept Elect & Comp Engn, Assiut 71515, Egypt

[2] Sultan Qaboos Univ, Dept Elect & Comp Engn, Muscat, Oman

[3] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON, Canada

来源：

2015 IEEE 8TH GCC CONFERENCE AND EXHIBITION (GCCCE) | 2015年

关键词：

DG allocation; distributed generation; distribution system; genetic algorithm; reconfiguration;

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：

Limitation of fossil fuels and the environmental constraints established by the Kyoto Protocol and other governmental initiatives caused the allocation of distributed generation (DG) to be a vital pillar in power system planning. Improper selection of the sizing and siting of DG systems can reduce their advantages. Network reconfiguration problem is to find a best configuration of distribution systems that gives minimum energy loss with satisfying the imposed operating constraints. This paper investigates the effect of load model on DG allocation and network reconfiguration problems. The proposed algorithm implemented and tested on the 25-bus unbalanced distribution system and the impact of load models is demonstrated. The constraints involved include voltage limits, line current limits, and radial topology.

引用

页数：5

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