A Two-Stage Robust Short-Term Optimal Scheduling Method for Security Constrained Multi-Source Collaborate Power System

With the depletion of fossil energy and the increase in environmental problems, renewable energy sources such as wind and solar energy has developed rapidly. We have established a scheduling model of multi-source collaborative power system that includes renewable energy, pumped-storage power stations, thermal units, nuclear power units, and battery energy storage stations. To address the randomness, volatility, and unpredictability of renewable energy, we developed a two-stage robust optimization model, which is solved using an improved column-and-constraint generation (ICCG) algorithm. The effectiveness of the proposed method is verified through a modified example.