Two-Stage Optimal Scheduling for a Typical Scenario of Railway Self-Contained Energy System

Against the backdrop of railway energy structure reform, constructing a wind-solar-electricity-hydrogen integrated railway self-contained system(RSCES) is significant. To enhance the operational economics and stability of self-consumption and surplus electricity injection scenarios, a two-stage multi-timescale optimization scheduling model encompassing day-ahead and intra-day phases is proposed. During the day-ahead phase, based on forecasts of solar and wind power generation output and load demand, the objective is to minimize the overall operational costs of the RSCES. During the intra-day phase, based on ultra-short-term forecast results, the objective is to reduce the impact of power fluctuations within the RSCES caused by forecasting errors. A case study at the Hailesihao South Traction Substation demonstrates the method’s effectiveness. Results show that intra-day optimization significantly reduces the deviations caused by day-ahead forecast errors, enabling coordinated operation among diverse energy sources to reliably meet demand, thus verifying the model’s practicality and superiority.