A Two-Stage Stochastic Programming Approach Considering Risk Level for Distribution Networks Operation With Wind Power
Wind power is a challenge for active operation of distribution networks because of its stochastic nature. In this paper, a two-stage stochastic-programming-based optimal power flow model is proposed for the short-term operation (e.g., 1 h ahead) of distribution networks with wind power. In this model, the wind power is dispatched in the first stage, and then, in the second stage, not only the additional cost caused by the difference between dispatched wind power and actual wind power is considered into the recourse cost but also the operational risk is introduced to characterize the system security level. Both the number and severities of violations and near violations can be reflected by the risk index. Thus, the impacts of the wind power dispatch decision on the system operation regarding the realizations of wind power can be comprehensively evaluated. The 69-bus system is used to verify the effectiveness of the proposed approach. Simulation results show that the proposed approach can give a much lower risk level with a small increase in operational cost.