Rolling Optimization Strategy for Photovoltaic Energy Storage-Charging Stations Based on Distributionally Robust Joint Chance Constraints
With the popularization of electric vehicles and the increasing installed capacity of clean energy,the photovoltaic energy storage-charging station has a good application prospect.Aiming at the problem that the power of photovoltaic energy storage-charging station is difficult to be accurately regulated under the influence of random access of electric vehicles,the rolling optimization strategy of photovoltaic energy storage-charging stations based on distributionally robust joint chance constraints(DRJCC)is proposed.The DRJCC model based on CVal-SLIM convex relaxation,the exact DRJCC model based on mixed integer programming and the DRJCC model based on Bonferroni inequality are compared,and the effectiveness of the proposed optimization strategy is verified by example analysis.It is shown that the DRJCC model based on CVaR-Slim convex relaxation can meet more EV charging requirements.
distributionally robust joint chance constraintsphotovoltaic energy storage-charging stationcontrol strategy
万方数据
维普
