An Improved Artificial Bee Colony Algorithm-based Configuration Optimization of a Remote Microgrid Considering Renewable Energy Systems

Duy C. Huynh, Hieu M. Pham, Loc D. Ho, Matthew W. Dunnigan, Corina Barbalata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper proposes a configuration optimization technique for a remote microgrid considering renewable energy systems based on an improved artificial bee colony (IABC) algorithm. Typically, diesel generators are used to supply load demands to remote areas. This does not bring economic and environmental benefits in the context of fossil fuel resources being gradually depleted and environmental pollution problems increasing. The configuration optimization of the remote microgrid is based on a minimization of the cost of energy (COE) of the system. The considered renewable energy system includes wind turbine (WT) systems and solar photovoltaic (PV) systems. The obtained optimization results with the IABC algorithm are compared to those by using an artificial bee colony (ABC) algorithm, a genetic algorithm (GA), and a particle swarm optimization (PSO) algorithm. The comparisons confirm the effectiveness of the proposal.

Original languageEnglish
Title of host publication6th International Conference on Green Technology and Sustainable Development 2022
PublisherIEEE
Pages976-981
Number of pages6
ISBN (Electronic)9781665466288
DOIs
Publication statusPublished - 29 Dec 2022
Event6th International Conference on Green Technology and Sustainable Development 2022 - Nha Trang City, Viet Nam
Duration: 29 Jul 202230 Jul 2022

Conference

Conference6th International Conference on Green Technology and Sustainable Development 2022
Abbreviated titleGTSD 2022
Country/TerritoryViet Nam
CityNha Trang City
Period29/07/2230/07/22

Keywords

  • artificial bee colony algorithm
  • configuration optimization
  • remote microgrid

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Renewable Energy, Sustainability and the Environment
  • Automotive Engineering
  • Control and Optimization
  • Development
  • Transportation

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