Robust Unit Commitment with CVaR of Wind Power

Abstract

Large-scale integration of wind power brings huge pressure to security and economic operation of power systems. In order to effectively deal with the wind power uncertainty and accommodate more wind energy, the problems faced by the power system include how to determine the boundary of the admissible region (AR) of wind power and how to measure the risk when wind power exceeding the AR. This paper proposes a robust unit commitment model considering the conditional value-at-risk (CVaR) of wind power integration. Based on the cost/benefit analysis, the wind AR on each node can be obtained by simultaneously optimizing the operation cost and CVaR cost. In the model, generation reserve, short-term ramping reserve, and transmission reserve are involved to guarantee the system security. The proposed model is recast into a mixed integer linear programming problem based on piecewise linear approximation and Soyster's robust linearization technique. The effectiveness and validity of the proposed method are illustrated on the IEEE-RTS system.