Abstract: In order to solve the problem of voltage violations caused by the integration of high penetration of distributed photovoltaics(PV) into the distribution network and improve the consumption capacity of PV power generation, a bi-level optimal sizing and placement of distributed energy storage system(ESS) considering multi-mode control of PV inverters is proposed. In the upper layer, the comprehensive annual cost and annual income of energy storage are taken as the objective function, the improved particle swarm optimization algorithm is used to solve the optimal results of energy storage location and capacity. In the lower layer, the photovoltaic multi-mode control strategy is used to solve the problem of voltage over-limit caused by photovoltaic power generation in the classical operation scenario obtained by K-means clustering based on the maximum and minimum distance criterion, coordinate the output coordination between photovoltaic and energy storage, and solve the problem of light abandonment in the photovoltaic control strategy. Taking the annual income of photovoltaic as the objective function, the quadratic programming algorithm is used to solve the optimal operation strategy of energy storage charging and discharging. The simulation results show that the proposed multi-mode control strategy is superior to the droop control strategy in terms of voltage control and reduction of photovoltaic curtailment. The energy storage configuration method proposed can effectively reduce the amount of photovoltaic curtailment while improving the energy storage economy and improving the voltage quality of the distribution network.