An optimization method was proposed for the integration of wind, light and storage, taking an industrial park in the Yangtze River Delta region as an example, the park's cooling, heating, electricity and steam loads were taken into account. The configuration scale of wind and photovoltaic systems and solid molten salt and battery energy storage were reasonably selected, by introducing 0-1 integer planning and taking the lowest total annual commuted cost of the integrated energy system as the optimization objective. The rationality of the optimal allocation method was confirmed based on the real-time power variation of thermal and electrical energy in the park. Subsequently, the constraint solution with carbon trading costs showed that the energy storage equipment in the integrated energy system should be shifted in the direction of high efficiency, with the heat load be shifted from electrode boilers to air source heat pumps, the battery be shifted from lithium ion to sodium sulphur batteries and the molten salt heat storage be shifted to magnesium brick solid heat storage. The cost of purchasing electricity and heat from the outside of the system was greatly reduced, after joining the integrated energy system. A double reduction in the total daily cost and total operating cost was achieved, with the total operating cost being about 20% to 40% of the original one, the total daily cost becoming only 30% to 40% of the current one, and carbon, nitrogen, and sulphur emissions being significantly reduced by more than 90%. Results indicate the future development direction of each part of the energy storage, which is of very positive significance for the current construction of zero-carbon industrial parks.