Aiming at the problem of serious waste of clean energy caused by the randomness and volatility of clean energy output during the winter heating period in Northeast China, this paper proposes a dispatching scheme of super-large power regenerative electric boiler, which fully combines the different physical characteristics and respective advantages of power systems and thermal systems. To maximize the economic and environmental benefits of wind-PV-hydro-thermal and other multi-energy joint dispatching, an optimal dispatch model is constructed with the lowest overall power generation cost as the dispatch target considering the power generation operating cost of the thermal power unit, the cost of abandoned light, the cost of abandoned water, the cost of abandoned wind, and the heating income of super-large power storage boilers combined together. The improved PSO algorithm based on multi-agent is used to solve the model. The results of the calculation example show that, after considering the absorption capacity of the super-large power regenerative electric boiler, the operating cost of the system is reduced by about 10%, and under the premise of ensuring the safe and stable operation of the system, the utilization rate of clean energy utilization and the system operation economy is improved.