4.6 Article

A scenario driven multiobjective Primary-Secondary Distribution System Expansion Planning algorithm in the presence of wholesale-retail market

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.ijepes.2012.02.002

关键词

Distribution system expansion planning; Adaptive Genetic Algorithm (AGA); Integrated Adaptive Genetic Algorithm (IAGA); Optimization; Primary circuits; Secondary circuits

向作者/读者索取更多资源

This paper presents a novel approach for Integrated Generation and Primary-Secondary Distribution System Expansion Planning (IGDSEP) in the presence of wholesale and retail markets. The proposed method uses a model to explore the impacts of wholesale and retail market on IGDSEP procedure. This algorithm decomposes the IGDSEP problem into six subproblems to achieve an optimal expansion planning of a system, in which the investment and operational costs are minimized, while the reliability of the system is maximized. The proposed model of IGDSEP is a Mixed Integer Non Linear Programming (MINLP) problem and a Scenario Driven MINLP (SCMINLP) method is proposed for solving the problem. The algorithm was successfully tested for an urban distribution system. (C) 2012 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据