WU Fan, LUO Lingen, HU Yue, et al. Partial Discharge Direction Finding Method Based on Received Signal Strength and Circular UHF Wireless Sensor Array[J]. 2020, 46(6): 1939-1947.
WU Fan, LUO Lingen, HU Yue, et al. Partial Discharge Direction Finding Method Based on Received Signal Strength and Circular UHF Wireless Sensor Array[J]. 2020, 46(6): 1939-1947.DOI:
基于接收信号强度和圆形特高频无线传感阵列的局部放电测向方法
摘要
针对敞开式变电站空间局部放电的监测与定位已有一定的研究
但现有的特高频局部放电空间定位技术主要是基于电磁波到达的时间差
而该方法要求非常高的时间同步精度和采样速率
因此一定程度上限制了其使用及推广。为此
提出了一种基于接收信号强度的局部放电测向方法
该方法将多个特高频无线传感器组成圆形阵列
根据每个单极型传感器对不同方向上局部放电信号的接收强度存在差别这一特性对局放源进行空间定向
并利用插值、聚类等方法提高定向精度
然后采用BP神经网络进行误差校正。实验室测试结果表明:所提出的方法定向误差在9°以内
相较于基于电磁波到达时间差的系统
所提方法的成本降低了一个数量级
且使用更加便捷。论文研究可为局部放电信号的监测提供一定的参考。
Abstract
The researches on the monitoring and positioning of partial discharge in open-type substations are available in the literature
but existing utral high frequency(UHF) partial discharge(PD) localization systems are mainly based on time-difference of electromagnetic wave signal
in which the synchronization accuracy and sampling rate are highly required
thus its use and promotion are restricted to a degree. We propose a received signal strength indicator(RSSI)-based angle-of-arrival(AoA) method using the monopole UHF wireless sensor array. Multiple antennas are evenly placed in a circle frame and form an antenna array. Then an AoA estimation scheme is derived through the radiation pattern of designed UHF antenna. Interpolation
clustering and neural network are applied to improve the AoA resolution. A laboratory test is performed to verify the effectiveness of the proposed PD localization system. The results show that the estimated error on average is below 9°. Compared to the accuracy of the time-difference-based method
the accuracy of the designed system in this paper is more feasible for practical application considering its significant low-cost feature. The research can provide references for the monitoring of partial discharge signals.