Construction Of Resource Allocation Model For Intermittent Power System Based On Big Data

In order to solve the problems of low fault tolerance rate and poor operation effect of intermittent power system resource allocation, a resource allocation model for intermittent power system was constructed based on the principle of big data. Combined with the adaptive algorithm, the resource scheduling parameters are calculated, abnormal data are checked according to the calculation results, and the resource allocation path is selected according to the common line abnormal conditions in the power system, so as to finally realize the construction of the intermittent power system resource allocation model. Experiments prove that the intermittent power system resource allocation model based on big data has higher fault tolerance rate than the traditional allocation model, and can effectively improve the operation effect of the power system.