Co-optimization method for air conditioning loads in business parks considering multiple types of energy storage devices

Aiming at the problem of optimal allocation of multiple energies for business parks with multiple types of energy storage devices to participate in day-ahead incentive-based demand response, an energy optimization operation model for business parks is constructed that includes rooftop photovoltaic, hydrogen storage system, air-conditioning system, and cold storage tanks and minimizes the total cost of daily operation. The optimal scheduling of energy storage device output is realized, and the power reduction requirement of demand response is met, which improves the daily operation economy of business parks participating in demand response. The effectiveness and feasibility of the proposed method are verified by a case study of a business park in Shanghai.