A Flexibility-Based Two-Stage Optimization Method for Day-Ahead and Intra-Day Scheduling of Coal- Hydro-Wind-Photovoltaic Multi-Energy Power System

To reduce the negative impact of the volatility and uncertainty of renewable energy on the flexible regulation and stable operation of multi-energy power systems, an optimization scheduling method of coal-hydro-wind-photovoltaic multi-energy power systems considering flexibility is proposed in this paper. Firstly, the flexibility quantification models of multiple resources are constructed based on the flexibility supply-demand balance. Moreover, the flexibility-based two-stage optimization method for day-ahead and intra-day scheduling is proposed. The method aims to minimize total operating costs while maximizing the consumption of flexibility resources and renewable energy sources. Finally, comparative simulation of several scenes validates the effectiveness and feasibility of the proposed scheduling method. Furthermore, it is demonstrated that the proposed method is effective to improve the flexibility of the power system.