基于蚁群优化的变电站通信网络负荷信息调度技术

Load Information Scheduling Technology for Substation Communication Network Based on Ant Colony Optimization

随着电网规模的扩大和智能化水平的提高,传统调度方式逐渐暴露出效率低下和应对突发事件的能力不足的问题。蚁群优化算法受到自然界蚂蚁觅食行为的启发,通过模拟蚂蚁间的信息素交流机制,提供了一种有效的优化策略。文章先讲解蚁群优化算法的基本原理、关键参数及其对算法性能的影响,然后详细介绍针对变电站通信网络负荷信息调度问题的算法设计,包括改进策略和流程设计。最后,搭建仿真环境,评估优化策略性能。结果显示,基于蚁群优化的变电站通信网络负荷信息调度方案,在实际应用中具有良好的响应能力和较强的数据处理能力,具备较高的应用潜力。

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.