Two-Stage Robust Optimal Scheduling Considering Renewable Power Correlation

The large-scale integrity of renewable energy to the grid makes it greatly difficult to consume because of the randomness and volatility. It is necessary to assess renewable energy consumption capacity so that effective measurements could be taken to adjust and optimize the grid operation mode promptly. An ultra-short-term renewable energy prediction model considering correlation is proposed based on copula function, and then establish a two-stage robust optimal scheduling model, which is solved by column and constraint generation algorithm. The validity of the model is verified in modified IEEE-RTS 1979. The results show that the model can strike a balance between robustness and economy by optimizing flexible consumption zone.