The invention discloses an electric power system supercomputing platform task scheduling method and system based on a Docker container, and belongs to the field of electric power system supercomputingplatforms. The electric power system supercomputing platform task scheduling method comprises the steps: a node adjustment step: predicting the future cluster resource utilization rate, reducing thenumber of starting nodes if the future cluster resource utilization rate is lower, and increasing the number of starting nodes if the future cluster resource utilization rate is higher; a resource allocation step: predicting the future cluster resource utilization rate, if the future cluster resource utilization rate is low, increasing the resource allocation of the container within a task demandallowable range, and if the future cluster resource utilization rate is high, reducing the resource allocation of the container within the task demand allowable range; a container scheduling step: deploying the containers in the scheduling queue, and realizing load balancing of different resources or realizing load balancing of nodes; and a container migration step: predicting the resource use conditions of all nodes in the future to identify overload nodes and light load nodes, migrating out part of containers in the overload nodes, and migrating out all containers in the light load nodes toclose the nodes. The electric power system supercomputing platform task scheduling method can improve the resource utilization rate of the supercomputing platform of the electric power system, and canreduce energy consumption.