Load Information Scheduling Technology for Substation Communication Network Based on Ant Colony Optimization
With the expansion of power grid scale and the improvement of intelligence level,traditional dispatch methods have gradually exposed the problems of low efficiency and insufficient ability to respond to emergencies.The ant colony optimization algorithm is inspired by the foraging behavior of ants in nature and provides an effective optimization strategy by simulating the pheromone communication mechanism between ants.The article first explains the basic principles,key parameters and impact of the ant colony optimization algorithm on the algorithm performance,and then introduces in detail the algorithm design for the substation communication network load information scheduling problem,including improvement strategies and process design.Finally,a simulation environment is built to evaluate the performance of the optimization strategy.The results show that the substation communication network load information dispatching scheme based on ant colony optimization has good response capabilities and high data processing capabilities in practical applications,and has high application potential.
ant colony optimizationsubstation communicationnetwork loadinformation dispatching
万方数据
维普
