This paper presents an optimal size and control strategy for hybrid energy storage based on gene algorithm. According to the historical operation data of the power grid, the operation characteristic parameters of the local power grid are calculated. Based on the characteristic parameters, the power grid operation curve is fitted by K-Means clustering method. In addition, an improved filter based hybrid energy storage system control strategy combined with typical power grid operation curve is proposed to obtain a more economical and effective hybrid energy storage system size.