Abstract: The configuration of photovoltaic and energy storage in a park can greatly reduce the cost of electricity consumption, and the optical storage park is bound to become an important part of the new power system. However, the surge of load or the sudden decrease of photovoltaic power generation in special scenarios can easily lead to the failure of park demand defense and affect the profit maximization of optical storage power stations. Under this background, this paper proposes a continuous time-scale energy storage operation strategy to improve the defense capability of optical storage park in special scenes. Firstly, the Bernstein polynomial based on interval normalization is derived to obtain the energy storage state and charge-discharge power at continuous time scale. This method extends the application of Bernstein polynomials in continuous optimal scheduling in arbitrary closed intervals. Then, based on the interval normalized Bernstein polynomials, a continuous time scale energy storage operation model is constructed. Finally, after electricity, electricity demand and system constraints being taken into consideration, a defense strategy of optical storage park demand based on Bernstein polynomial based on interval normalization is proposed, and the simulation analysis is carried out with the data of an optical storage park in Zibo city of China. The results show that the proposed method is obviously better than the traditional energy storage defense strategy based on discrete operation.