基于分布鲁棒优化的铁路客站交直流微电网日前调度策略OA

Railway passenger stations usually adopt an AC power supply and distribution mode.With the increasing number of DC equipment in stations,AC/DC microgrids are becoming an effective power supply and distribution mode for railway passenger stations.In addition,distributed photovoltaic and energy storage are increasingly adopted in railway passenger stations,making the stations"photovoltaic-storage-direct-flexible"buildings.However,the distributed photovoltaic output,AC/DC loads,and cooling load in stations are subject to uncertainties,and forecasting is prone to errors,which pose a great challenge to the formulation of day-ahead dispatch plans for railway passenger stations.Therefore,a day-ahead optimal dispatch model for AC/DC microgrids in railway passenger stations based on two-stage distributionally robust optimization(DRO)was established to minimize the total day-ahead economic dispatch cost subject to the operational constraints of all equipment in the station.The characteristics of distributed photovoltaic output,AC/DC loads,and cooling load were taken into account in the model,and the coordinated dispatch of energy storage systems,electric vehicle charging stations,and ice-storage air-conditioning was carried out.Based on comprehensive norm-distance modeling,the two-stage DRO model was transformed into a master problem and a sub-problem to facilitate solving,and the column-and-constraint generation(C&CG)algorithm was introduced for alternating solution.Finally,the study showed that coordinated dispatch of multiple devices reduced the total dispatch cost.The total day-ahead economic dispatch cost of the two-stage DRO was 31.25%lower than that of the two-stage robust optimization(RO).Compared with the conservative robustness of two-stage RO and the idealized economic performance of stochastic programming,the two-stage DRO achieves a better trade-off between the two.