Day-ahead Economic Scheduling for Wind-solar Industrial Park Based on Source-load Coordination

High-percentage renewable energy system is an inevitable choice to realize the dual-carbon target. However, the uncertainty of wind and solar output is prone to cause wind and light abandonment. With the electricity market reform, source-load coordination has attracted much attention. In this paper, taking the wind-solar industrial park as the research object, we propose a day-ahead economic scheduling method based on source-load coordination: considering the demand-side response in the day-ahead stage, we establish an economic scheduling model aiming at minimizing the operation cost and we obtain the day-ahead market 24h power plan curve by solving. The simulation results show that the method can fully tap the flexibility of demand-side consumers, enhance the capacity of wind power consumption, and contribute to the stable economic operation of the park.