Abstract: The energy storage technology can effectively smooth the fluctuation of photovoltaic（PV）output power and improve the stability of the PV output power. A dual-regulating feedback optimization control method of the PV combined energy storage system based on Kalman filter（KF）-Model predictive control（MPC）is proposed in this paper,in which Kalman filter and model predictive control are combined and a dual-regulating feedback optimal control of the PV combined energy storage system is adopted. A filter adjustment factor is introduced in the Kalman filter to effectively smooth the fluctuation of the PV output power using the energy storage system under different working conditions by adaptively adjusting the Kalman filter gain. With the goal of the minimum output of the energy storage system,the best state of the SOC of the energy storage system and the lowest fluctuations of the PV output power in the MPC,the optimal output and the best SOC of the energy storage system are obtained by the rolling optimization of the MPC. Through the analysis of the actual operation data at a certain PV combined energy storage power station,the control strategy proposed in this paper can effectively extend the service life of the energy storage system while smoothing the fluctuation of the PV output power,and has certain engineering application prospects.