一种多样本信息的局部放电源逐次逼近定位方法

A Positioning Approach Based on Successive Approximation of Multi-Samples for Partial Discharge Source

时延估计是利用时间差方法对局部放电(PD)源准确定位的关键,然而在测量时延时不可避免地产生误差,从而导致因时延获取准确度不高而带来定位误差大的问题。因此,为了降低时间差定位法中对准确获取时延的依赖性,提出一种基于多样本寻优PD源的逐次逼近定位方法。采用逐次逼近式粒子群搜索原理,对传统定位方法得到的单样本初值与传感器阵列所建立的寻优目标函数进行递归逼近处理,最终确定最优PD源位置。通过对实验室实测PD信号逐次逼近寻优定位,表明提出的逐次逼近定位方法可有效地解决因时间差测量不准确而引起的定位结果较差的难题,结果较传统时间差定位方法具有更高的准确度,验证了所提方法的正确性与有效性。

Time-delay estimation is the key to locate partial discharge（PD） source accurately with the time difference of arrival（TDOA） method. However, the time-delay error inevitably exists during measuring time difference, which leads to large location error because of low time delay accuracy. In order to reduce the dependency of the TDOA method on time delay accuracy, a novel PD source location approach based on successive approximation of multi-samples is proposed in this paper. The particle swarm optimization is employed to recurrently perform the optimization objective function. In this optimization objective function, the single sample value is obtained by the traditional TDOA method, while sensor array in turn determines the optimal location of the PD source. Experimental results show that the proposed method can effectively solve the problem of low location accuracy for the PD source caused by the poor accuracy of time delay measurements. The positioning result of the proposed method is potentially better than that of the traditional TDOA method, which verifies the proposed method.