The invention relates to the technical field of
optical storage charging stations, and discloses an
optical storage charging station optimized operation method considering stepped carbon transaction and multi-agent
collaboration, which comprises the steps of collecting carbon emission data of each agent in a
charging station, considering interaction between the
charging station and a
power grid, and establishing a stepped carbon transaction mechanism; comprehensively considering the interest appeal and
operation safety of each main body, and establishing a comprehensive optimization objective function by taking the maximization of the comprehensive benefit of the charging
station as an objective; schedulable resources in the charging
station are abstracted into intelligent agents, the intelligent agents cooperate with a carbon transaction mechanism, a multi-agent
reinforcement learning framework is constructed to solve a comprehensive optimization objective function, and a multi-agent cooperative optimal
operation scheduling strategy is obtained. According to the method, the nonlinear stepped carbon transaction mechanism close to the real carbon transaction market is established, the
optimal scheduling strategy obtained based on the carbon transaction mechanism has perspectiveness, the benefits of the
power grid and the
optical storage charging
station can be balanced, and the overall market competitiveness and risk resistance of a power
system are effectively improved.