Large-scale Electric Vehicles (EV) are randomly connected to power system containing a high proportion of renewable energy, which will further increase the stability of the system. According to the characteristics of wind and solar, the combined system is divided into four operating modes. The operating modes are "having wind and solar", "having wind without solar", "having solar without wind" and "without wind and solar". This paper proposes a wind power-photovoltaic-photothermal coordinated dispatch strategy that takes into account the EV charging load. In "multi-source" part, the surplus electric power is converted into thermal power through the external electric heating module and stored in the Thermal Storage System (TES) of the Concentrating Solar Power (CSP) station. When the output of renewable energy is insufficient, the heat storage system releases heat to promote the output of the steam turbine unit, thereby reducing power volatility. In "load side" part, the EV load is divided into three different EV loads: disorderly EV load, orderly charging EV load and Vehicle-to-grid (V2G). Finally, Matlab is used for simulation analysis. The results verify the effectiveness of the proposed scheduling strategy in reducing net load variance, increasing renewable energy consumption, and reducing fluctuations of traditional units. This work is supported by the National Natural Science Foundation of China (No. 61773186).