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Cited by 65Microgrid Control and OptimizationIntegrated Energy Systems OptimizationOptimal Power Flow Distribution

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A Review on Optimal Energy Management of Multimicrogrid System Considering Uncertainties

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Ma, Guolong, Li, Jianing, Zhang, Xiao-Ping·2022·IEEE Access
DOI 10.1109/access.2022.3192638
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Abstract

Microgrid (MG) is one of the most effective solution to integrate distributed renewable energy into power system. However, modern MG has several technical challenges such as migration to multi vector energy system, increasing renewable energy penetration, and the uncertainties that arise from the large-scale incorporation of renewable energy. Recent development of multi-microgrid (MMG) could potentially mitigate these challenges. MMG has obvious advantages in improving the system stability, reliability, economy, and energy efficiency of power grid operation through autonomous management and coordinated control among networked MGs. In the meantime, uncertainties from many elements and operators in the MMG system also pose huge challenges in modeling. This paper will present and review typical architecture of MMG, including physical layer, information layer and application layer. Moreover, this paper will critically review and analyze challenges in uncertainty modelling and solution in MMGs. Finally, the paper will also discuss future research areas and development trends of MMG.

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Metadata

Authors
Ma, G., Li, J., & Zhang, X.-P.
Affiliations
  • University of Birmingham (GB)
  • Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham, U.K
ORCID
Venue
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2022
Volume
10
Pages
77081-77098
ISSN
2169-3536 (ISSN-L)
DOI
10.1109/access.2022.3192638
OpenAlex
W4286359162
Cited by
65
References
0
Citations by year
2026: 13 · 2025: 13 · 2024: 17 · 2023: 17 · 2022: 5
FWCI
5.24
Type
journal article
Language
en
Open access
Licence
Locations
  • IEEE Access (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion, cc-by)
Funders
  • Engineering and Physical Sciences Research Council (EP/N032888/1, EP/L017725/1)
  • China Scholarship Council
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
Keywords
networked microgrids, energy management, uncertainty modeling, renewable energy integration, multi-vector energy systems, microgrid architecture, coordinated control, distributed energy resources, power system reliability

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CoChat. (2026). Citation check: A Review on Optimal Energy Management of Multimicrogrid System Considering Uncertainties. https://app.cochat.ai/papers/10.1109/access.2022.3192638
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Ma, G., Li, J., & Zhang, X.-P. (2022). A Review on Optimal Energy Management of Multimicrogrid System Considering Uncertainties. IEEE Access. https://doi.org/10.1109/access.2022.3192638