基于参数优化的VMD和PE的变频负载漏电信号提取方法

Method for Extracting Leakage Signal of Variable Frequency Load Based on Parameter Optimization for VMD and PE

针对在室内建筑电气火灾风险管理中变频负载发生漏电故障时,线路中故障剩余电流包含大量噪声干扰容易造成误报警的问题,提出了一种基于参数优化的变分模态分解和排列熵的变频负载漏电信号提取方法。首先,对原始信号根据粒子群算法优化得到的分解个数和惩罚因子进行变分模态分解;然后,利用排列熵筛选出包含故障信息的本征模态分量,并重构得到故障剩余电流信号;最后,与完全集合经验模态分解算法结合排列熵进行比较。结果表明,所提算法能快速准确地提取出变频负载漏电时产生的故障剩余电流信号,为变频负载漏电信号提取提供了新的思路。

A variable frequency load leakage signal extraction method based on parameter optimization,variational mode decomposition and arrangement entropy,was proposed to address the issue of false alarms caused by the residual current of faults containing a large amount of noise interference in the transmission lines during leakage faults of variable frequency loads in indoor building electrical fire risk management.Firstly,the original signal was optimized using particle swarm optimization to obtain the number of decompositions and penalty factors,and then variational modal decomposition is implemented;then,the intrinsic mode components containing fault information were filtered using permutation entropy,and reconstructed to obtain the residual current signal of the fault;compare with the complete set empirical mode decomposition algorithm combined with permutation entropy.The results show that the proposed algorithm can quickly and accurately extract the fault residual current signal generated during the leakage of variable frequency loads,providing a new approach for extracting the leakage signal of variable frequency loads.