Grid Adaptive Dispatch System Based on Multi-Dimensional Fault Prediction and Dynamic Resource Synergy

With the increase of power system complexity and intelligence, grid scheduling requires more and more fault prediction and resource coordination. This paper proposes a grid adaptive scheduling method and system based on fault prediction and resource coordination. The method first collects multi-source state data of the power grid and preprocesses them, integrates the preprocessed data through linear feature fusion, and subsequently inputs the fused data into a multidimensional fault prediction model to generate fault prediction results. Based on the fault prediction results, the grid protection strategy is dynamically adjusted, while communication resources are adaptively allocated according to the predicted communication demand and communication priority. Combining the grid protection strategy and communication resource allocation results, a global scheduling objective optimization function is established, and the cross-domain scheduling of power protection and communication resource management is realized by solving the optimization function. The method can significantly improve the accuracy of fault handling and the balance of communication resource allocation.