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Supervisory Energy Management in Hybrid AC-DC Microgrids Based on a Hybrid Distributed Algorithm

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

5 Scopus citations

Abstract

As awareness of human global footprint grows, solution is investigated to reduce greenhouse gas emission (GHG). To reduce the carbon intensity of electricity production, a large deployment of renewable energy sources (RESs), such as solar panels and wind turbine, has become a mandatory goal. Therefore, more and more microgrids (MGs) appear. In this context, this paper proposes an effective framework for optimal operation management of hybrid AC-DC microgrids (MGs) incorporating both dispatchable and non-dispatchable energy sources as well as battery energy storage system (BESS). The proposed method is constructed based on mixture of an alternating direction method of multipliers (ADMM) and firefly algorithm (FA) as a non-linear optimization algorithm. The performance of the ADMM-MFA is assessed using a typical hybrid AC-DC microgrid. The simulation results show the high efficacy and accuracy of the proposed method in comparison with other well-known methods.

Original languageEnglish
Title of host publicationClemson University Power Systems Conference, PSC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728193847
DOIs
StatePublished - Mar 2020
Externally publishedYes
Event2020 Clemson University Power Systems Conference, PSC 2020 - Clemson, United States
Duration: Mar 10 2020Mar 13 2020

Publication series

NameClemson University Power Systems Conference, PSC 2020

Conference

Conference2020 Clemson University Power Systems Conference, PSC 2020
Country/TerritoryUnited States
CityClemson
Period03/10/2003/13/20

Keywords

  • Alternating Direction Method of Multipliers
  • Distributed Control
  • Hybrid Microgrid
  • Multi-Agent
  • Optimization Algorithm

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