Wind/Storage Power Scheduling Based on Time–Sequence Rolling Optimization

Due to that participation of energy storage in wind power dispatch can improve scheduling reliability of Grid-accessed, the effectiveness depends on energy storage capacity and feasible energy management. Daily economic dispatch model is proposed firstly under the consideration of scheduling reliability and working characteristics of energy storage. Secondly, the Time–Sequence Rolling Optimal Ultra-short-term scheduling algorithm of energy storage is developed based on dynamic deviation estimation update. To deal with the problems caused by unforeseen prediction error of wind power or energy storage SOC (state-of-charge), relaxation factor of the allowable Grid-accessed power deviation range is introduced either in the scheduling algorithm to ensure reliability of established energy storage capacity. Finally, GA (Genetic Algorithm) and EMD (Empirical Mode Decomposition) are used in reference value setting of hybrid energy storage power distribution. The feasibility of the dispatch model and energy management strategy are verified by the wind/storage simulation platform.