基于改进粒子群算法的电力调度自动化技术

Power Scheduling Automation Technology Based on Improved Particle Swarm Optimization Algorithm

为了提升电力设备自动化调度水平,采用粒子群算法,对电力系统参数设置和相关算法进行改进优化,在分析原有算法缺陷的基础上,提高了算法应用的可行性。此外,本文对电力系统调度进行了模拟仿真,验证了算法改进后的效果。在掌握电力系统规划运行的情况下,将改进后的算法应用在系统调度中,提高了自动化调度的实用性,对电力调度自动化设备评估有重要意义。

In order to improve the automatic scheduling level of power equipment,particle swarm optimization algorithm is used to set the parameters of power system and improve the algorithm.Based on the analysis of the defects of the original algorithm,the feasibility of the application of the algorithm is improved,and the effect of the improved algorithm is verified through the simulation of power system scheduling.In the case of power system planning and operation,the improved algorithm is applied to the system scheduling to improve the practicality of automatic scheduling,which is of great significance for the evaluation of power scheduling automation equipment.