Allocation of Distributed Generators Using Parallel Grey Wolf optimization

Soheil Younesi, Bahman Ahmadi, Oguzhan Ceylan, Aydogan Ozdemir

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

6 Citations (Scopus)

Abstract

This paper solves the allocation problem of distributed generators (DGs) in smart grids utilizing a grey wolf optimization (GWO) algorithm. By parallelizing GWO, it presents the impact of using various number of processors on speedup, efficiency. To decrease the computation time required to perform the simulations, different migration rates are applied for different number of processors. Moreover, the accuracy obtained using different number of processors is analyzed. The simulations are performed for a 33-bus distribution test system using MATLAB's parallel computing toolbox. From the simulation results it is observed that parallel GWO can be used as a tool for distribution system optimization.

Original languageEnglish
Title of host publicationProceedings of 2021 9th International Conference on Modern Power Systems, MPS 2021
Place of PublicationPiscataway, NJ
PublisherIEEE
ISBN (Electronic)978-1-6654-3382-2
ISBN (Print)978-1-6654-3383-9
DOIs
Publication statusPublished - 16 Jun 2021
Externally publishedYes
Event9th International Conference on Modern Power Systems, MPS 2021 - Cluj-Napoca, Romania
Duration: 16 Jun 202117 Jun 2021

Conference

Conference9th International Conference on Modern Power Systems, MPS 2021
Country/TerritoryRomania
CityCluj-Napoca
Period16/06/2117/06/21

Keywords

  • Distributed generators
  • Grey Wolf Optimization algorithm
  • Optimization
  • Parallel computation
  • Smart grids
  • n/a OA procedure

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