Robust scheduling of power system with significant wind power penetration

Abstract

Wind power generation brings new challenges to power system scheduling due to the uncertainty caused by its imprecise prediction. Especially when multiple wind farms are taken into consideration, models and optimization methods which are good at dealing with deterministic scheduling problems do not work. Stochastic Programming (SP) has been usually applied to solve the problem with wind power uncertainty, which has many advantages and limitations. A new concept of Robust Scheduling (RS) is first proposed in this paper and the mathematical model is established. The Mixed Integer Programming (MIP) is adopted for solving the model. The paper also defines the extreme scenarios set for description of wind power uncertainty. By using it we can achieve robust schedule by avoiding the use of the probabilistic distribution of wind power, which is often hard to acquire. Case study based on the modified IEEE118 bus system proves that the RS model and optimization method are effective and can acquire a robust schedule over wind power uncertainty.