Abstract: In order to solve the problem of low efficiency and poor stability in dispatching massive data in power system, a scheduling algorithm of massive power data based on grey fuzzy prediction is designed. Considering the real-time and reliability of power system task scheduling, the power task scheduling strategy is formulated. The deadline and value of scheduling task are selected as characteristic parameters, and the load rate is calculated to measure the actual load of service nodes to complete the load balance distribution of power system. The grey fuzzy prediction algorithm is used to schedule the power data, the future trend of a single existing storage block is predicted according to the progressive function, and then combined with the priority of the task to realize the automatic scheduling of massive power data. The experimental results show that the proposed algorithm can make the collaborative scheduling and resource allocation in a short time, ensure the stable state of the data platform, improve the data scheduling efficiency and enhance the scheduling stability. 

Key words:  ')">

 , gray fuzzy prediction, massive power data, task scheduling, storage block, scheduling priority