A hybrid energy storage capacity optimization configuration method based on chance-constrained programming belongs to the wind and light storage hybrid power generation system energy storage configuration optimization technology field. In the invention, based on a power capacity and an energy capacity which are required by a hybrid energy storage system and are acquired through calculation, a chance constrained programming algorithm is used to calculate optimal capacity configuration of a storage battery and a super capacitor in the hybrid energy storage system under different confidence levels. By using the optimization method, an optimized target is that total cost is least. By using the method of the invention, technology rationality and economic practicality of a constructed optimization model are high, and a theory support and a technology support are provided for programming and designing of a wind and light storage hybrid power generation system.