Abstract:The construction of a New Power System with mainly renewable energy and diversification of electri?cal load is the essential path to achieve the“carbon peak and neutrality”target in China. Facing the dual uncertaintychallenge of both source and load，it sets higher requirement for the power system coordination and operation abili?ties. This paper proposed a four-stage intelligent optimization and control algorithm for a bidirectional IntegratedElectric Vehicle Charging Station（IEVCS）equipped with photovoltaic generation and battery storage and integratedwith a commercial building. It aimed at maximally reducing the customer satisfaction-involved operational cost con?sidering the potential uncertainties，while guaranteeing the balance of real-time supply and demand by adjusting theoptimally scheduled charging/discharging of PEVs and battery storage，grid supply，and deferrable load. This paperanalyzed the role of each stage in the algorithm and verified the necessity of each stage to provide power supply moreresilience and redundancy facing unpredictable conditions.