Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Firefly Algorithm and Surrogate Optimization

Mohamed Els S. Abdelwareth, Dedet Candra Riawan, Chow Chompoo-Inwai

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

Abstract

Exploiting renewable energy resources can help decrease carbon emissions by providing a reliable solution to generate electricity and tackle the climate change dilemma. Artificial Intelligence algorithms have been used in the last two decades to optimize power system networks. In this paper, we discussed the effect of replacing the existing Diesel Generator (DG) with a wind turbine to satisfy the load in the standalone hybrid (DG, PV, Battery) radial network in Tomia Island, south-east Sulawesi, Indonesia. Loss of Power Supply Probability (LPSP) and the Coefficient of determination parameters were used as technical performance indicators. Firefly Algorithm (FF) and Surrogate Optimization technique were used to optimize the system considering the minimum costs.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Computer and Applications, ICCA 2022 - Proceedings
EditorsJihad M. Alja'Am, Soumaya AlMaadeed, Samir Abou Elseoud, Omar Karam
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665452946
DOIs
Publication statusPublished - 2022
Event4th International Conference on Computer and Applications, ICCA 2022 - Cairo, Egypt
Duration: 20 Dec 202222 Dec 2022

Publication series

NameProceedings of the International Conference on Computer and Applications, ICCA 2022 - Proceedings

Conference

Conference4th International Conference on Computer and Applications, ICCA 2022
Country/TerritoryEgypt
CityCairo
Period20/12/2222/12/22

Keywords

  • Firefly Algorithm
  • Hybrid System
  • LPSP
  • Radial Network
  • Surrogate Optimization
  • cost minimization

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