基于模拟退火遗传算法的接地网故障磁场诊断方法研究

Magnetic fault diagnosis of grounding grid based on simulated annealing genetic algorithm

提出了一种基于磁场的接地网故障诊断方法。通过对接地网施加异频电流激励,测量接地网上方地表一个方向的磁场。根据电网络理论和毕奥沙伐定理建立了支路电阻和地表磁场的函数关系,并利用此函数关系和最小二乘法建立了以支路电阻为变量的最小二乘优化模型。为了避免初值选取对优化模型收敛性的影响,采用了模拟退火遗传算法(SAGA)对模型进行求解。通过仿真计算实验表明了该方法的可行性。

A magnetic fault diagnosis method of grounding grid is proposed. Current excitation is injected into the grounding grid. The magnetic field on the surface of the earth can be measured. The functional relationship between the branch resistance and the earth magnetic field can be established according to the electric network theory and the Biot-Savart Law. The least square optimization model with the variables of branch resistance is set up through the functional relationship and least square method. The simulated annealing genetic algorithm （SAGA） is used to solve this model to avoid the effect of initial value on the convergence of the optimization model. The computing simulation shows that this method is simple and can be applied to the fault diagnosis of grounding grid.