Energy-sharing Strategy for Multi-microgrids based on the ADMM Algorithm

Driven by the dual-carbon target, the distributed power supply is about to enter a new period of rapid growth. As a relatively independent power system, micro-grid can effectively adjust the power fluctuation of distributed power supply, promote the smooth grid connection of distributed power supply and the local consumption of distributed power supply, showing huge development potential. In order to more effectively manage the distributed power sources in multiple microgrids and maximize the support efficiency of microgrids, we propose a distributed energy management scheme. Power information exchange and operation by configuring micro-grid energy management system (MGEMS), and the cost problem is used to verify the effectiveness, superiority and scalability of the proposed scheme.

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Published
2025-07-18
DOI
https://doi.org/10.1109/icceee63357.2025.11156618
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Energy-sharing Strategy for Multi-microgrids based on the ADMM Algorithm

H. Zhang, Tingting Cai, Haoran Li, Fang Liu
Power Systems and Renewable Energy
article

Energy-sharing Strategy for Multi-microgrids based on the ADMM Algorithm

H. Zhang, Tingting Cai, Haoran Li, Fang Liu
article en

Abstract

Driven by the dual-carbon target, the distributed power supply is about to enter a new period of rapid growth. As a relatively independent power system, micro-grid can effectively adjust the power fluctuation of distributed power supply, promote the smooth grid connection of distributed power supply and the local consumption of distributed power supply, showing huge development potential. In order to more effectively manage the distributed power sources in multiple microgrids and maximize the support efficiency of microgrids, we propose a distributed energy management scheme. Power information exchange and operation by configuring micro-grid energy management system (MGEMS), and the cost problem is used to verify the effectiveness, superiority and scalability of the proposed scheme.

Shanghai Electric (China) (CN), Changchun Institute of Technology (CN)
Openalex Percentile: Top 73%
Power Systems and Renewable Energy
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Energy-sharing Strategy for Multi-microgrids based on the ADMM Algorithm — H. Zhang, Tingting Cai, et al. · (2025) | TGRS Research Map | TGRS