Abstract: An optimal scheduling method for peak load shifting of energy storage station was proposed to deal with the system peak-shaving problem caused by regional large-scale distributed photovoltaic integration. Firstly, this paper analyzed effects of large-scale distributed photovoltaic on system load characteristics and peak-shaving capacity under different penetration level and weather. Then, the optimal scheduling method was proposed with the energy storage station as an independent source to fulfill peak-load shifting. The charging and discharging power of the energy storage station was optimized to minimize net load variance. Conventional units and wind farm groups were scheduled to minimize system operating cost by considering system economy and wind power scheduling priority. Finally, effectiveness of the proposed method was verified by simulation results.