Optimal Scheduling and Risk Minimization of Wind Farms Using Pump-Storage Plants

Stochastic nature of wind farms generation، increases imbalance cost and risk of these plants in the power market. If these units are scheduled with other units coordinately، imbalance cost and risk of these plants decreases. Therefore، in this paper، a new optimal bidding strategy is proposed for joint operation (JO) of wind farms and pump-storage power plants. The goal of this program is maximizing the benefit and minimizing the risk of these units in the day-ahead energy and ancillary service markets. In this paper، in order to construct more reliable wind scenarios، the value of the wind generation is forecasted by ARMA method. Furthermore، Weibull distribution is used to approximate wind scenarios. The performance of the proposed bidding strategy is tested and evaluated on pump-storages and wind farms of IEEE 118-bus standard system. The results verify that the joint operations of pump-storage and wind farm (risk and benefit)، improve the benefit and the decreases the risk values of the system related to uncoordinated operation (UO) of pump-storage and wind farm.