The negative effects from the integration of wind power will in turn limit the size of the wind power. In this paper

considering the randomness and volatility of wind power output

using the theory of risk constraint

we constructed a dynamic model to calculate the wind power penetration limit

and put forward the corresponding solving algorithm. Moreover

we put forward the risk index to measure the effects of wind power output random.Taking the combination of time and unit commitment as decision variables

the penetration limit of wind power as the optimization goal

we constructed the dynamic calculation model

meanwhile

considering the wind power penetration limit of system operation risk

we put forward the methods based on Benders decoupling and imperialistic competition algorithm. The 10 machine system were used to verify the correctness of the proposed model and algorithm

The results of simulation show that the wind power penetration limit is negatively correlated to systemic risks thresholds λ and positively correlated to the standard deviation σv wind speed forecast error.