The invention relates to an
electricity-carbon-
green certificate market balanced scheduling method based on a multi-agent evolutionary game, and the method comprises the following steps: 1, collecting data, and constructing an
electricity-carbon-
green certificate three-market double-layer
coupling model; 2, carrying out multi-agent modeling, and modeling a power generation enterprise, a
power user, a
renewable energy enterprise and a supervision mechanism into a multi-agent model; 3, performing evolution modeling on the
intelligent agent strategy by adopting a replicated
dynamic equation, and constructing an evolutionary game model; 4, a multi-agent near-end strategy optimization
algorithm MAPPO is introduced, a multi-agent
reinforcement learning model is constructed, and all agents are trained under a'centralized training and distributed execution 'framework; and step 5, after training convergence, outputting an optimal strategy set of each market subject, and obtaining an
equilibrium point of the power-carbon-green evidence
coupling market. According to the method, the limitation that a traditional method depends on complete rationality and analytical solution is broken through,
rapid convergence and
stable equilibrium of the complex
coupling market are achieved, and the method has remarkable
engineering value and policy guidance significance.