4.6 Article

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

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Publisher

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

Keywords

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

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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.

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