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 uncertainty challenge 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 Integrated Electric Vehicle Charging Station（IEVCS）equipped with photovoltaic generation and battery storage and integrated with 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 the optimally scheduled charging/discharging of PEVs and battery storage，grid supply，and deferrable load. This paper analyzed the role of each stage in the algorithm and verified the necessity of each stage to provide power supply more resilience and redundancy facing unpredictable conditions.