Robust Energy Management for Uncertain Microgrid Using Modified Grey Wolf Optimizer

Yuhao Cao, Tengpeng Chen, Lu Sun, Yuhao Sun, Zhongbao Wei, Gehan A.J. Amaratunga

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

2 Citations (Scopus)

Abstract

Uncertainties of renewable energy sources (RES) power generation and load demand have detrimental effects on the microgrid operation. In this paper, a robust optimization approach based on modified grey wolf optimizer is proposed to determine the optimal energy management for a typical micro-grid with regard to uncertainties. Furthermore, the influence of uncertainty budget for RES power generation and load demand on operation cost and pollutant gas emissions are studied. Simulation results show a good reduction both in operation cost and pollution emissions as well verify the effectiveness of our proposed approach.

Original languageEnglish
Title of host publicationProceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1515-1519
Number of pages5
ISBN (Electronic)9781728151694
DOIs
Publication statusPublished - 9 Nov 2020
Event15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 - Virtual, Kristiansand, Norway
Duration: 9 Nov 202013 Nov 2020

Publication series

NameProceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020

Conference

Conference15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
Country/TerritoryNorway
CityVirtual, Kristiansand
Period9/11/2013/11/20

Keywords

  • energy management
  • microgrid
  • modified grey wolf optimizer
  • robust optimization
  • uncertainty

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