The paper presents a daily planning algorithm for a multi-reservoir hydropower system coordinated with wind power. The planning algorithm applies to the real situation where wind power and hydropower are owned by different utilities, sharing same transmission lines, though, hydropower has a priority for transmission capacity. Coordination is, thus, necessary to minimize wind energy curtailments during the congestion situations. The planning algorithm considers an uncertainty of wind power forecast. Forecast error scenarios are modeled with ARMA series. A scenario reduction algorithm is applied to reduce computational time. Only the planning for the spot market is considered. Thus, once the hydropower production bid is placed on the market it cannot be changed. The solution of the stochastic optimization problem should, therefore, fulfill the transmission constraints for all wind power production scenarios. The developed planning algorithm is applied in a case study. The results are compared to the planning results without coordination.