Stochastic Optimal Scheduling Based on Scenario Analysis for Wind Farms

In the scheduling of wind farms, the fluctuation of system's power demand is required to track within a certain time period. It benefits to reasonably arrange division of wind turbines and distribution of active power output. This paper proposes a stochastic optimal scheduling method based on scenario analysis for wind farms. While tracking the power demand on the system side, the uncertainty of wind speed and the effect of wake flow in the wind farm are also considered in the model in order to minimize the operating cost. The method of scenario analysis can determine uncertain variables, and the nonuniform segmentation piecewise linearization method is used to linearize the model. The mixed-integer linear programming method is used to figure out the optimal scheduling strategy for the wind farm, thus, greatly increasing the economical operation of the wind farm. This proposed method is proved to be effective on an actual wind farm in East Inner Mongolia of China.