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Reconfigueation Distribution Networks Using the Simultaneously Locating of DG and Sectionalizaing Switches to Reduce losses and improve Reliability by the PSO Algorithm

Publish Year: 1396
Type: Conference paper
Language: English
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Document National Code:

NEEC04_047

Index date: 2 September 2018

Reconfigueation Distribution Networks Using the Simultaneously Locating of DG and Sectionalizaing Switches to Reduce losses and improve Reliability by the PSO Algorithm abstract

This paper presents a methodology for Placement of sectionalizing switches and distributed generation sources in distribution networks. The multiobjective considerations are handled using a fuzzy approach. The primary objective is a reliable improvement and reducing losses with consideration of economic aspects. Thus, the objectives are defined as a reliable improvement and losses reduction and minimization of the cost of sectionalizing switches and distributed generation sources. A fuzzy membership function is defined for each term in the objective function according to the relevant conditions. Some considerations incorporated in the proposed model are relocation of existing switches and operating constraints on distribution networks and distributed generation (DG) sources during post-fault service restoration. The particle swarm optimization (PSO) algorithm is adopted to solve the fuzzy multi-objective problem efficiently. The performance of the proposed approach is assessed and illustrated by various case studies on a test distribution system and also a real distribution network

Reconfigueation Distribution Networks Using the Simultaneously Locating of DG and Sectionalizaing Switches to Reduce losses and improve Reliability by the PSO Algorithm Keywords:

distributed generation (DG) , distribution networks , reliability optimization , particle swarm optimization (PSO) , Simultaneous allocation sectionalizing switch and DG sources (SASD)

Reconfigueation Distribution Networks Using the Simultaneously Locating of DG and Sectionalizaing Switches to Reduce losses and improve Reliability by the PSO Algorithm authors

Mehdi Sadeghi

Department of Electrical Engineering Faculty of Azad University of Tehran South Branc

Mohaddese Molaie

Expert Kerman Regional Electric co. Kerman, Iran