Hybrid Time-Scale Optimal Scheduling Considering Multi-Energy Complementary Characteristic

Evaluating the potential utilization of hybrid energy systems and determining multi-scale optimal operation strategy is critical to power system planning in context structure adjustment, especially for large-scale systems. Considering long-term short-term complementary characteristics, this paper puts forward a coordinated optimization framework integrated world's largest multi-energy base on Yellow River's upper reaches. The main procedures are as follows: 1) cross-correlation method introduced individually analyzing long- characteristics wind power, photovoltaic, hydropower base; 2) double-layer model combining proportion multiple optimizing maximum peak-shaving ability; 3) Large-Scale System Decomposition-Coordination Method applied solving proposed model. results show that 23%, photovoltaic 35%, 42% can keep most stable generation operation. This improve peak regulation capacity with 50.8% (sunny day's morning peak) 24.2% (rainy