Ant colony optimization-based method for placement of sectionalizing switches in distribution networks using a fuzzy multiobjective approach

  • Falaghi H
  • Haghifam M
  • Singh C
  • 48

    Readers

    Mendeley users who have this article in their library.
  • 98

    Citations

    Citations of this article.

Abstract

This paper proposes a methodology for placement of sectionalizing switches in distribution networks in the presence of distributed generation sources. The multiobjective considerations are handled using a fuzzy approach. The primary objective is reliability improvement with consideration of economic aspects. Thus, the objectives are defined as reliability improvement and minimization of the cost of sectionalizing switches. A fuzzy membership function is defined for each term in the objective function according to 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 ant colony optimization (ACO) algorithm is adopted to solve the fuzzy multiobjective 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.

Author-supplied keywords

  • Ant colony optimization (ACO)
  • Biological system modeling
  • Distributed generation (DG)
  • Distribution networks
  • Load modeling
  • Minimization
  • Optimization
  • Power system reliability
  • Reliability
  • Reliability optimization
  • Sectionalizing switch placement (SSP)
  • Switches

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Get full text

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free