A Review on Optimal Energy Management of Multimicrogrid System Considering Uncertainties

Guolong Ma; Jianing Li; Xiao-ping Zhang

doi:10.1109/ACCESS.2022.3192638

A Review on Optimal Energy Management of Multimicrogrid System Considering Uncertainties

Guolong Ma, Jianing Li, Xiao-ping Zhang

Electronic, Electrical and Systems Engineering

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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 largescale 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.

Original language	English
Pages (from-to)	77081-77098
Journal	IEEE Access
Volume	10
DOIs	https://doi.org/10.1109/ACCESS.2022.3192638
Publication status	Published - 20 Jul 2022

Keywords

Microgrid
architecture
energy management
multi-microgrid system
optimization
uncertainties

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ACCESS.2022.3192638Licence: Creative Commons: Attribution (CC BY)

A_Review_on_Optimal_Energy_Management_of_Multimicrogrid_System_Considering_UncertaintiesFinal published version, 1.87 MBLicence: Creative Commons: Attribution (CC BY)

https://ieeexplore.ieee.org/document/9833485/

Multi-scale ANalysis for Facilities for Energy STorage (Manifest)
Ding, Y. (Co-Investigator), Radcliffe, J. (Principal Investigator), Zhang, X.-P. (Co-Investigator) & Li, Y. (Co-Investigator)
Engineering & Physical Science Research Council
30/09/16 → 29/09/21
Project: Research Councils

Cite this

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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 largescale 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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A Review on Optimal Energy Management of Multimicrogrid System Considering Uncertainties

Abstract

Keywords

UN SDGs

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Projects

Multi-scale ANalysis for Facilities for Energy STorage (Manifest)

Cite this