Multi-objective distribution system reconfiguration for reliability enhancement and loss reduction

N.G. Paterakis, S.F. Santos, J.P.S. Catalao, A. Mazza, G. Chicco, O. Erdinc, A.G. Bakirtzis

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

This paper deals with the radial distribution system reconfiguration problem in a multi-objective scope, aiming to determine the optimal configuration by means of minimization of active power losses and several reliability indices. A novel way to calculate these indices under a mixed-integer linear programming (MILP) approach is provided. Afterwards, an efficient implementation of the e-constraint method using lexicographic optimization is employed to solve the multi-objective optimization problem, which is formulated as a MILP problem. After the Pareto Efficient solution set is generated, a multi-attribute decision making procedure is used, namely the technique for order preference by similarity to ideal solution (TOPSIS) method, so that a decision maker (DM) can express preferences over the solutions and facilitate the final selection.

Original languageEnglish
Title of host publication2015 IEEE Power & Energy Society general meeting : 26 - 30 July 2015, Denver, Colorado
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)978-1-4673-8040-9
ISBN (Print)978-1-4673-8041-6
DOIs
Publication statusPublished - 30 Sep 2015
EventIEEE Power and Energy Society General Meeting, PESGM 2015 - Sheraton Denver Downtown Hotel, Denver, United States
Duration: 26 Jul 201530 Jul 2015
http://www.pes-gm.org/2015/

Conference

ConferenceIEEE Power and Energy Society General Meeting, PESGM 2015
Abbreviated titlePESGM 2015
Country/TerritoryUnited States
CityDenver
Period26/07/1530/07/15
Other"Powering Up the Next Generation"
Internet address

Keywords

  • Distribution system reconfiguration
  • epsilon-constraint method
  • loss minimization
  • mixed-integer linear programming
  • multi-objective optimization
  • reliability

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