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ObjectivesWith the intervention of new energy, the uncertainty and volatility problems of new energy output have been shown. In order to make up for the shortcomings of new energy output, thermal power units have assumed the role of peak regulation. In order to improve the peak-load capacity of thermal power units, the peak-load characteristics were studied.MethodsFirstly, a 350 MW heating unit was taken as the analysis object. The simulation software was used to build the thermal system model, and the accuracy of the model was verified. Secondly, with the heat storage system as the auxiliary system, the peak-load capacity of the unit under the condition of meeting the heating demand was studied, and the influence of energy storage units such as heat storage on the peak-load capacity of the unit was analyzed. Finally, the heuristic particle swarm optimization algorithm was used to optimize the operation strategy of the storage tank, and the optimal operation mode of the storage tank changing with the heat load was obtained.ResultsThe peak regulation and heating capacity of the unit can be effectively improved by coupling the storage water tank with the unit, and the operation mode can be determined according to the actual heat load data to maximize the benefit.ConclusionsThis method has guiding significance to the operation strategy of the unit.