Error Correction Method of Ultra-Short-Term Prediction Based on Load Peak-Valley Characteristics for Wind Farm Cluster

In recent years, the global installed capacity of wind power has grown rapidly, making the enhancement of wind power prediction accuracy crucial for facilitating the integration and consumption of renewable energy. Current research on ultra-short-term wind power prediction often overlooks load characteristics, resulting in an inability to adequately address grid connection requirements and load dispatching demands across different time periods. To address this limitation, this study proposes a novel approach to ultra-short-term wind power prediction error correction that incorporates load peak-valley characteristics. The methodology involves three key steps: first, deriving interannual prediction error…