LI Xijun, HAO Fei, LI Jie, DU Jun, ZHAO Aiguo, LI Botong. Distributed Collaborative Optimization Strategy of Multi-microgrid Based on Non-cooperative Game[J]. Journal of Electrical Engineering, 2025, 20(5): 283-293. DOI: 10.11985/2025.05.028
Citation: LI Xijun, HAO Fei, LI Jie, DU Jun, ZHAO Aiguo, LI Botong. Distributed Collaborative Optimization Strategy of Multi-microgrid Based on Non-cooperative Game[J]. Journal of Electrical Engineering, 2025, 20(5): 283-293. DOI: 10.11985/2025.05.028

Distributed Collaborative Optimization Strategy of Multi-microgrid Based on Non-cooperative Game

  • In order to realize the power sharing and running cost reduction between multi-microgrid systems, a distributed collaborative optimization strategy of multi-microgrid based on non-cooperative game is proposed. A multi-microgrid collaborative operation model based on non-cooperative game is established. First, considering the uncertainty of electricity price, a new low-carbon microgrid power management model for point-to-point power sharing is established, and considers the electric to gas conversion device and carbon capture system. Secondly, since the power sharing and payment of the microgrid are mutually coupled and mutually influencing, a cost reduction ratio distribution model is proposed, and the electric energy sharing payment is obtained by determining the cost price range, and then the payment is substituted into the cost reduction ratio distribution model to determine the payment, and the microgrid can obtain the largest possible cost reduction. The above optimization problem adopts the alternating direction multiplier method for distributed solution, which effectively protects the privacy and information security of the microgrid. Finally, the simulation results show that the multi-microgrid system can reduce energy costs and carbon emissions.
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