Economic dispatch using stochastic whale optimization algorithm

FatmaAlzahra Mohamed, Mohamed Abdel-Nasser, Karar Mahmoud, Salah Kamel

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

9 Citations (Scopus)

Abstract

Economic dispatch aims to determine the optimal generated power from the generation units to meet the required load at the lowest fuel cost. In this paper, a stochastic whale optimization (SWO) method is proposed to solve the economic dispatch problem. Whale optimization algorithm is enhanced using mutation and crossover operators. To test the proposed method two systems (3 and 10 generating units) are tested. We compare the proposed SWO algorithm with whale optimization algorithm, artificial bee colony algorithm, dragonfly algorithm, ant lion algorithm, gray wolf optimization, and whale optimization algorithm with mutation only. The obtained results demonstrate the high efficiency of the proposed method compared with the other methods.

Original languageEnglish
Title of host publicationProceedings of 2018 International Conference on Innovative Trends in Computer Engineering, ITCE 2018
PublisherIEEE
Pages19-24
Number of pages6
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

  • Economic Dispatch
  • Smart Grid
  • Whale Optimization Algorithm

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