TY  - EJOU
AU  - Zhang, Zhiyuan 
AU  - Shuai, Meng 
AU  - Wang, Bin 
AU  - He, Ying 
AU  - Yang, Fan 
AU  - Ren, Liyan 
AU  - Zhang, Yuyuan 
AU  - Wang, Ziren 

TI  - Cooperative Game Theory-Based Optimal Scheduling Strategy for Microgrid Alliances
T2  - Energy Engineering

PY  - 2025
VL  - 122
IS  - 10
SN  - 1546-0118

AB  - With the rapid development of renewable energy, the Microgrid Coalition (MGC) has become an important approach to improving energy utilization efficiency and economic performance. To address the operational optimization problem in multi-microgrid cooperation, a cooperative game strategy based on the Nash bargaining model is proposed, aiming to enable collaboration among microgrids to maximize overall benefits while considering energy trading and cost optimization. First, each microgrid is regarded as a game participant, and a multi-microgrid cooperative game model based on Nash bargaining theory is constructed, targeting the minimization of total operational cost under constraints such as power balance and energy storage limits. Second, the Nash bargaining solution is introduced as the benefit allocation scheme to ensure individual rationality and coalition stability. Finally, the Alternating Direction Method of Multipliers (ADMM) is employed to decompose the centralized optimization problem into distributed subproblems for iterative solution, thereby reducing communication burden and protecting privacy. Case studies reveal that the operational costs of the three microgrids are reduced by 26.28%, 19.00%, and 17.19%, respectively, and the overall renewable energy consumption rate is improved by approximately 66.11%.
KW  - Microgrid coalition; cooperative game; Nash bargaining; ADMM algorithm

DO  - 10.32604/ee.2025.066793