Spinning reserve model in response to wind power ramp events at sub-hourly time-scale

Wind power ramp events, driven by extreme weather conditions, will bring huge operational risk to the system. Considering the difficulty for hourly dispatch to respond to wind power ramp events within 1h, sub-hourly dispatch are scheduled in this paper. Loss of load expectation and expectation of wind power curtailment caused by wind power ramp are set to satisfy the limit value. The expense of load loss and wind power curtailment is converted into the risk cost, with reserve cost and fuel cost included in the objective function. Thus the rational spinning reserve is optimized to prevent wind power ramp events. Monte Carlo method is adopted to simulate the wind power ramp in each time interval. Conventional units´ output and spinning re serve at 15-min time-scale are optimized based on the determined unit commitment. The analysis of the numerical examples are carried out to verify the effectiveness of the proposed method.