Two-Stage Rolling Scheduling Strategy For Hybrid Energy Storage With Wind Power Integration

To mitigate the impact of wind power volatility and uncertainty on power system scheduling, a two-stage rolling scheduling strategy considering the hybrid energy storage output characteristics is proposed. During day-ahead scheduling, scenario-based stochastic programming is utilized to determine the scheduling outcome. The intra-day scheduling model prolongs the rolling period to encompass the remaining day and partitions the scheduling scope into two segments with distinct resolutions, effectively addressing the “short-sightedness” issue of the energy storage resource and enhancing computational performance. Additionally, the output characteristics of the hybrid energy storage system consisting of batteries and supercapacitors are considered comprehensively, and the time window for the energy constraint of the super-capacitor is established to achieve ample utilization of the potential provided by hybrid energy storage resources. The proposed rolling scheduling strategy is validated through case studies, confirming its effectiveness.