Research on Dynamic Assessment Method of Wind Power Grid Integration Capacity with Integrated Forecasting Feedback Mechanism

To address the issue of dynamic changes in grid operation constraints caused by wind power fluctuations, a dynamic assessment system for wind power grid integration capacity based on wind power forecasting is proposed. An improved LSTM multi-scale forecasting model is developed, incorporating sensitivity correction and dynamic constraint feedback mechanisms, forming a closed-loop process of forecasting-optimization-verification. Validation using typical grid data from Shandong Zhihui Electric Power Company shows that the designed system improves the acceptance power by approximately 13% under multiple load scenarios. When the forecasting error is controlled within ±5%, the voltage stability index reaches 0.94, demonstrating strong real-time performance and engineering application value.