Optimum Generated Power with the Minimum Cost of a Radial Network using Firefly and Genetic Algorithms

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

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

3 Citations (Scopus)

Abstract

This paper presented two artificial intelligence methods to find the optimum output power from Diesel generator (DG), Photovoltaic system (PV) and batteries to satisfy the load with the minimum cost considering the minimum losses. Our case study was a micro-gird 20 kV radial network consists of 21 busses located in Tomia island, south-east Sulawesi Island, Indonesia. Firefly algorithm (FA) and Genetic algorithm (GA) used in this study to do the optimization and chose the optimum operation. Forward-Backward sweep method used for the power flow calculations.

Original languageEnglish
Title of host publication2021 International Conference on Power, Energy and Innovations, ICPEI 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages25-28
Number of pages4
ISBN (Electronic)9781665402163
DOIs
Publication statusPublished - 2021
Event2021 International Conference on Power, Energy and Innovations, ICPEI 2021 - Nakhon Ratchasima, Thailand
Duration: 20 Oct 202122 Oct 2021

Publication series

Name2021 International Conference on Power, Energy and Innovations, ICPEI 2021

Conference

Conference2021 International Conference on Power, Energy and Innovations, ICPEI 2021
Country/TerritoryThailand
CityNakhon Ratchasima
Period20/10/2122/10/21

Keywords

  • Algorithm
  • Firefly
  • Genetic Algorithm
  • Minimum cost
  • Optimum output power
  • Power system optimization

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