Low-Carbon Economic Scheduling of Multi-Microgrid Based on Carbon Cost Allocation and Nash Bargaining

Microgrids (MGs), as an effective form of utilizing distributed energy resources, have gained significant attention. This paper proposes a low-carbon scheduling approach for coordination between an upper-level operator and MGs. The upper-level operator participates in the external carbon emission market, while MGs indirectly participate in the carbon market by sharing the carbon costs incurred by the operator using the Entropy Weighted-Shapley method, which considers both the carbon emission efficiency and carbon emission of node. This method incentivizes stakeholders to actively engage in energy conservation and emission reduction. A cooperative game based on Nash bargaining is utilized to address multi-MG cooperation. The ADMM (Alternating Direction Multiplier Method) is employed to solve the multi-party optimization, which is decomposed into two subproblems. Simulations are conducted to demonstrate the effectiveness of the approach.