基于变电站接地系统的改进型粒子群优化算法

Improved Particle Swarm Optimization Algorithm Based on Transformer Substation Grounding System

由双层土壤和不等电位模型建立接地网优化目标函数,采用分合群和裂变变异的方法对传统的粒子群优化算法进行改进,解决了早熟现象和收敛速度慢等问题.以某变电所接地系统的实际参数为例建立仿真模型,Matlab仿真结果表明,相对等间距分布的80m×60m和120m×100m变电所接地系统,改进型粒子群算法优化的按指数规则分布的不等间距分布最大接触电压降低率达到了21.65%和23.45%,最大散流电流密度差降低率达到18.05%和10.26%,说明变电站接地优化设计方法能够有效降低最大接触电压和最大散流电流密度差,接地系统的安全性得到大幅提高.

To solve the problem that the unequal electric potential of grounding grid can be caused by the use of steel instead of copper as a conductor.The improved PSO algorithm is used to optimize the docking system,and the optimization objective function is set up by using double layer soil and unequal potential model.The traditional particle swarm algorithm is improved through the method of fission gregarious variation to solve the problem of premature convergence and slow convergence.The simulation model was built by the actual system parameters of the grounding system of a substation.The Matlab simulation results show that compared with the equally distributed grounding system of the 80 m×60 mand 120 m×100 msubstation,the unequally distributed grounding voltage according to the exponential rule by the improved particle swarm optimization algorithm can achieve 21.65%and 23.45%.The difference of the maximum current density is 18.05%and 10.26%.It is concluded that the optimized design method of substation grounding system in this paper can effectively reduce the difference of maximum contact voltage and current density,and can effectively improve the security of the grounding system.