Optimal secondary distribution system design considering plug-in electric vehicles

被引：21
|
作者：
Abdelsamad, S. F. [1 ]
Morsi, W. G. [1 ]
Sidhu, T. S. [1 ]
机构：
[1] UOIT, Fac Engn & Appl Sci, Oshawa, ON L1H 7K4, Canada
来源：
ELECTRIC POWER SYSTEMS RESEARCH | 2016年 / 130卷
关键词：
Artificial intelligence; Monte Carlo methods; Distribution system design; Power quality; RESIDENTIAL DISTRIBUTION DESIGN; EXPERT-SYSTEM;
D O I：
10.1016/j.epsr.2015.09.009
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：
In this paper, the problem of secondary distribution system (SDS) design considering plug-in electric vehicles (PEVs) charging demand is addressed using meta-heuristic optimization to minimize the overall secondary system costs. The objective function and the necessary constraints are mathematically formulated and presented. The effectiveness of the proposed SDS design approach is evaluated in terms of the overall SDS costs and transformer loss of life (LOL). The proposed design approach represents an effective tool for electric utilities to accommodate PEVs during the planning stage of SDS and also when retrofitting existing SDS. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：266 / 276
页数：11
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