Optimization and Scheduling of Wind-Photovoltaic-Integrated Energy System Based on ISSA

A multi-objective scheduling model of the park integrated energy system (PIES) with an improved Sparrow Search Algorithm (ISSA) is proposed for the problem of economy, stability, and environmental protection of PIES containing photovoltaic cells, wind turbines, and batteries. PIES includes three kinds of electricity, heat, and gas loads, as well as coal-fired units, gas units, wind, and photovoltaic power generation units. Aiming at the economic dispatching problem of PIES by dispatching model of PIES of the park is carried out. Economic cost and utilization rate of clean energy are taken as objective functions. The ISSA algorithm is used to solve the multi-objective function, and the example analysis shows that the proposed model is conducive to reducing the total cost of system operation. The result of the example verifies the feasibility, superiority, and applicability of ISSA in solving the multi-objective optimal scheduling store.