论文标题
UHF无线阵列和RSSI最大似然估计量的空气绝缘变电站的到达估算的部分排放方向
Partial Discharge Direction of Arrival Estimation in Air-insulated Substation by UHF Wireless Array and RSSI Maximum Likelihood Estimator
论文作者
论文摘要
基于超高频率（UHF）传感器阵列在空气绝缘变电站（AIS）中的部分放电（PD）的快速检测和定位有效地用于动力设备监测。所采用的UHF PD到达时间（TDOA）方法主要使用电磁波信号的时间差。因此，系统既需要高采样率，又需要时间同步精度，从而导致高成本和大尺寸。在这项研究中，使用UHF无线传感器阵列和接收的信号强度指示器研究了AIS中PD DOA的可行性和准确性。首先，通过离线实验获得了设计的UHF无线传感器阵列的功率模式。然后，采用了基于最大似然估计量的PD DOA方法的统计方法来获得初步DOA结果。最后，使用插值和聚类算法来提高DOA的准确性。进行了实验室测试。 PD DOA的平均误差小于6°，并且成本效益和便携性明显提高。
The quick detection and localization of partial discharge (PD) in an air-insulated substation (AIS) based on ultrahigh-frequency (UHF) sensor arrays are efficient for power equipment monitoring. The adopted UHF PD time difference of arrival (TDOA) methods mainly use the time difference of electromagnetic wave signals. Thus, the system requires both a high sampling rate and time synchronization accuracy, leading to a high cost and large size. In this study, the feasibility and accuracy of PD DOA in an AIS were investigated using a UHF wireless sensor array and the received signal strength indicator. First, the power pattern of the designed UHF wireless sensor array was obtained via an offline experiment. Then, a statistical approach to the PD DOA method based on the maximum likelihood estimator was employed to obtain the preliminary DOA result. Finally, interpolation and clustering algorithms were used to improve the accuracy of the DOA. A laboratory test was conducted. The average error of the PD DOA was less than 6°, and the cost-effectiveness and portability were clearly improved.
