Interaction Model in a Resilient Standalone Multi-Microgrid System

Ghadimi, Maryam; Moghaddas-Tafreshi, Seyed-Masoud

doi:10.1109/sgcf.2019.8782339

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…Therefore, the emerging management solution should be efficient and low-cost for an economically viable smart grid. The main research directions of current MMG energy management and operation control in different cooperative approaches can be summarized as the following three aspects:1) energy transaction strategy [76][77][78][79][80]; 2) information interaction strategy [81][82][83][84]; 3) artificial intelligence technology in MMG [88][89][90][91][92][93][94]. Table 3 summarized and compared the different solution methods and optimization objectives of energy management and operation control of MMG under different cooperative approaches.…”

Section: Energy Management Strategy and Operation Control Methods For...mentioning

confidence: 99%

“…Therefore, the energy management problem of MMG is essentially a problem of multi-scenes, multi-objectives, nonlinear and mixed uncertainty. To solve this problem, enumeration method [144][145][146][147][148][149], mixed integer programming method [80], [163], heuristic algorithm [89][90][91][92] have been studied respectively. Enumeration, as the name implies, enumerates all possible combinations of optimized variables.…”

Section: Solving Methods Of Multi-microgrid Systemsmentioning

confidence: 99%

“…Reference [79] proposed a decentralized control model to improve the fault ride-through of a multi-microgrid system. Reference [80] introduce an energy interaction framework for a decentralized operation in a stand-alone multi microgrid system to improve the economic and resilience.…”

Section: ) Energy Transaction Strategymentioning

confidence: 99%

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A Review on Optimal Energy Management of Multimicrogrid System Considering Uncertainties

Zhang

2022

IEEE Access

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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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