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Article

A Coordinated Operation Optimization Model for Multiple Microgrids and Shared Energy Storage Based on Asymmetric Bargaining Negotiations

1
Economics Research Institute, State Grid Shanxi Electric Power Company, Taiyuan 030001, China
2
School of Economics and Management, North China Electric Power University, Beijing 102206, China
*
Author to whom correspondence should be addressed.
Processes 2025, 13(8), 2514; https://doi.org/10.3390/pr13082514
Submission received: 21 July 2025 / Revised: 2 August 2025 / Accepted: 7 August 2025 / Published: 9 August 2025

Abstract

The promotion of local renewable energy consumption and stable power gird (the latter is referred to as PG) operation have emerged as the primary objectives of power system reform. The integration of multiple microgrids with distinct characteristics through the utilization of shared energy storage (the following is referred to as SES) facilitates coordinated operation. This approach enables the balancing of energy across temporal and spatial domains, contributing to the overall reliability and security of the energy network. The proposed model outlines a methodology for the coordinated operation of multiple microgrids and SES, with a focus on asymmetric price negotiation. Initially, cost and revenue models for microgrids and SES power plants are established. Secondly, an asymmetric pricing method based on the magnitude of each entity’s energy contribution is proposed. A profit optimization model is also established. The model can be decomposed into two distinct subproblems: the maximization of overall profit and the negotiation of transaction prices. The model can be solved by employing the alternating direction method of multipliers (ADMM). Finally, a series of case studies were conducted for the purpose of validating the operation optimization model that was previously constructed. These studies demonstrate that the model enhances collective operational efficiency by 44.69%, with each entity’s efficiency increasing by at least 12%. At the same time, cooperative benefits are distributed fairly according to each entity’s energy contribution.
Keywords: microgrid; shared energy storage; asymmetric bargaining negotiations; coordinated operation; alternating direction method of multiplier microgrid; shared energy storage; asymmetric bargaining negotiations; coordinated operation; alternating direction method of multiplier

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MDPI and ACS Style

Wang, Y.; Tan, Z.; Zhou, X.; Li, J.; Hu, Y.; Wu, H.; Ju, L. A Coordinated Operation Optimization Model for Multiple Microgrids and Shared Energy Storage Based on Asymmetric Bargaining Negotiations. Processes 2025, 13, 2514. https://doi.org/10.3390/pr13082514

AMA Style

Wang Y, Tan Z, Zhou X, Li J, Hu Y, Wu H, Ju L. A Coordinated Operation Optimization Model for Multiple Microgrids and Shared Energy Storage Based on Asymmetric Bargaining Negotiations. Processes. 2025; 13(8):2514. https://doi.org/10.3390/pr13082514

Chicago/Turabian Style

Wang, Yao, Zhongfu Tan, Xiaotong Zhou, Jia Li, Yingying Hu, Huimin Wu, and Liwei Ju. 2025. "A Coordinated Operation Optimization Model for Multiple Microgrids and Shared Energy Storage Based on Asymmetric Bargaining Negotiations" Processes 13, no. 8: 2514. https://doi.org/10.3390/pr13082514

APA Style

Wang, Y., Tan, Z., Zhou, X., Li, J., Hu, Y., Wu, H., & Ju, L. (2025). A Coordinated Operation Optimization Model for Multiple Microgrids and Shared Energy Storage Based on Asymmetric Bargaining Negotiations. Processes, 13(8), 2514. https://doi.org/10.3390/pr13082514

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