Scheduling strategy of regional integrated energy system based on improved sparrow search algorithm

Regional integrated energy system (RIES) is one of the effective ways to improve the utilization efficiency of renewable energy. Aiming at the influence of energy storage equipment configuration and the uncertainty of renewable energy output on RIES optimal scheduling, a RIES optimal scheduling model based on electric, cold and heat multi-type energy storage response is proposed in this paper. The model takes the minimum sum of system operating cost, environmental pollution cost and new energy incentive cost as the objective function, comprehensively considers a variety of constraints, and uses the improved chaotic sparrow search algorithm to solve the proposed model. Case simulation and analysis show that the optimal scheduling model based on multi-type energy storage demand response can improve the stability of the system, restrain the fluctuation of renewable energy and the operation cost of the system is further reduced.