Energy management system for an islanded renewables-based DC microgrid

Muhammad Fahad Zia, Mashood Nasir, Elhoussin Elbouchikhi, Mohamed Benbouzid, Juan C. Vasquez, Josep M. Guerrero

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

14 Citations (Scopus)
185 Downloads (Pure)

Abstract

DC microgrids are gaining attention of researchers and engineers due to the increasing deployment of renewable energy sources with energy storage systems, enhanced utilization of DC power electronics devices, and added advantages of no harmonics and synchronization issues. They are viable solutions for providing electricity to off-grid remote communities, like islands and remote areas. However, they need energy management systems for optimally scheduling the distributed energy generation and storage systems. Hence, this paper proposes a supervisory energy management system for optimal operation of islanded DC microgrid. Energy management system is responsible for determining optimal scheduling of each energy source and ensuring maximum utilization of renewable energy sources and supply demand balance. The proposed energy management model has been validated experimentally and practical results prove the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
Number of pages5
PublisherIEEE Signal Processing Society
Publication dateSept 2020
Pages543-547
Article number9242919
ISBN (Print)978-1-7281-6612-4
ISBN (Electronic)978-1-7281-6611-7
DOIs
Publication statusPublished - Sept 2020
Event2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 - Bangkok, Thailand
Duration: 15 Sept 202018 Sept 2020

Conference

Conference2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
Country/TerritoryThailand
CityBangkok
Period15/09/202018/09/2020
Series2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Battery degradation
  • DC microgrid
  • Energy management system
  • Mixed integer linear programming
  • Tidal energy

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