In the system programming of wind power and energy storage integrated power station

a kind of bi-level programming model

which not only ensured maximized capacity of the wind power and energy storage integrated power station

but also ensured the optimal integral economy

was put forward. The target of upper programming model is to ensure the maximized capacity of the wind power and energy storage integrated power station

considering the constraint conditions such as consumption capability of wind power which is constituted by local wind energy resources and grid assets; the target of lower programming model is to minimize the one-time investment of wind power and energy storage integrated system

optimizing the wind power and storage proportion

considering the constraints such as the transient equilibrium of electricity and the power output target of wind power and energy storage integrated power system. And nested GA（Genetic Algorithm） is designed to solve the given model

through example confirmation

we can conclude that the wind power and energy storage integrated power system can continuously work about 4.9 h with 2.8 MW power（expected wind farm power） in the windless condition or when the system output and scheduling output plan are not consistent. The results show that the system programmed by above model has the ability to response to the output requirements of power system in a certain period of time. The effects of wind turbine type and Weibull parameters on the capacity planning results are further analyzed

and the result shows that the programming result of the model in the area between the shape parameter of 1-3 and scale parameter of 4-10 has a strong adaptability

revealing that the given programming model is not able to fully reflect the energy storage function.