Multi-scenario Wind-Solar-Thermal-Storage Optimal Scheduling Based on Fuzzy Optimization

To mitigate the impact of the uncertainty in wind and solar power output on power system optimal scheduling, a scheduling model integrating wind, solar, thermal and storage resources was constructed. The scenario method was employed to generate typical days for both high-energy and low-energy seasons as the scheduling data basis, and fuzzy optimization method was applied for optimal scheduling. The relationship between model cost and reserve capacity under different confidence levels and fuzzy membership degrees was compared. Case studies demonstrated that fuzzy optimization and multi-scenario scheduling enhanced system stability and the accommodation rate of renewable energy. The results show that the proposed optimal scheduling method increases renewable energy accommodation rate by 4.6%, reduces scheduling and operational costs by 25 000 yuan, and improves system stability.