Operation Optimization of a Microgrid based on Minimization of Power Loss and Improvement of Voltage Stability

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

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

Abstract

Microgrid is receiving more and more attention, which is considered one of the solutions to efficiently supply electrical energy to loads. During the operation of the microgrid, the power loss and voltage stability of the microgrid are the main indicators to evaluate the operational efficiency. The solution of using distributed generators (DG) is becoming more and more popular to improve the performance of the microgrid. The main challenge of this solution is the determination of the optimal allocation of DGs in the microgrid. This paper proposes a water wave optimization (WWO) algorithm to identify the optimal allocation of DGs in the microgrid for power loss reduction and voltage stability improvement. The WWO algorithm-based achievements are compared with those using a genetic algorithm (GA) and a particle swarm optimization (PSO) algorithm to confirm the effectiveness of the proposal in the minimization of power loss and improvement of voltage stability.
Original languageEnglish
Title of host publication2023 International Conference on System Science and Engineering (ICSSE)
PublisherIEEE
Pages395-400
Number of pages6
ISBN (Electronic)9798350322941
DOIs
Publication statusPublished - 29 Aug 2023
Event2023 International Conference on System Science and Engineering - Ho Chi Minh, Viet Nam
Duration: 27 Jul 202328 Jul 2023

Conference

Conference2023 International Conference on System Science and Engineering
Abbreviated titleICSSE 2023
Country/TerritoryViet Nam
CityHo Chi Minh
Period27/07/2328/07/23

Keywords

  • microgrid
  • operation optimization
  • power loss
  • voltage stability

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Control and Optimization

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