Cost Optimization of Park Integrated Energy System Considering Combined Demand Response and Multiple Different Operating Scenarios

With the introduction of the concept of global energy networking and the development of integrated energy system, multi-energy combined demand response has become an important means to achieve peak regulation and improve energy efficiency. Considering the demand response of electrical load based on electricity price and the demand response of heat load based on fuzzy comfort, this paper establishes an optimization dispatching model of the park integrated energy system by taking the park operators as the main body and the lowest comprehensive operating cost as the optimization objective. Then, a number of operating scenarios for industrial and residential users are established respectively, and the particle swarm optimization algorithm is used for example analysis. Through the cost analysis of different operating scenarios, the effectiveness and economy of the proposed strategy and model under each scenario are obtained.