期刊
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
卷 56, 期 -, 页码 117-126出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ijepes.2013.11.014
关键词
Distributed generation (DG); Multi-objective optimization; Pareto frontier differential evolution; Power losses; Voltage stability index (VSI)
The upward trend in global warming has led to increase in utilization of renewable energy based distributed generation sources (DGs) in electricity production. This research presents a solution technique for the distribution expansion planning problem using DGs. In this paper, three main factors associated with the multiple DG sizing and placement procedure is scrutinized through a multi-objective optimization approach. These factors include voltage stability, power losses and network voltage variations. In order to solve this multi-objective optimization problem the Pareto Frontier Differential Evolution (PFDE) algorithm is presented. The proposed method is implemented and tested on 69-buses and 33-buses IEEE test systems. Results prove that the proposed method exhibits higher capability and efficiency in finding optimum solutions. (C) 2013 Elsevier Ltd. All rights reserved.
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