Application of mutation operators to grey Wolf optimizer for solving emission-economic dispatch problem

Eman Mostafa, Mohamed Abdel-Nasser, Karar Mahmoud

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

3 Citations (Scopus)

Abstract

This paper presents applying the grey wolf optimization (GWO) to find an optimal solution for the combined economic and emission dispatch problem which aims to minimize the generation costs and keeping emission reduction. Six mutation operators are applied to the GWO to enhance its performance. The effect of a weight factor between generation cost and emission is also studied in this paper. A test system that consists of 10 units is simulated, the results show the effect of applying the mutation operators to the GWO.

Original languageEnglish
Title of host publicationProceedings of 2018 International Conference on Innovative Trends in Computer Engineering, ITCE 2018
PublisherIEEE
Pages278-282
Number of pages5
ISBN (Electronic)9781538608777
DOIs
Publication statusPublished - 14 Mar 2018
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Innovative Trends in Computer Engineering - Aswan, Egypt
Duration: 19 Feb 201821 Feb 2018

Conference

ConferenceInternational Conference on Innovative Trends in Computer Engineering
Abbreviated titleITCE
CountryEgypt
CityAswan
Period19/02/201821/02/2018

Keywords

  • Combined Economic and Emission Dispatch (CEED)
  • Grey Wolf Optimization (GWO)
  • System Constraints

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