|
|
RSSI-Power-Based Direction of Arrival Estimation Using Maximum Likelihood Estimator and Antenna Array |
Wu Fan, Luo Lingen, Wang Hui, Sheng Gehao, Jiang Xiuchen |
Department of Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 China |
|
|
Abstract Partial discharge is one of the main reasons of electrical equipment insulation deterioration in substations. The detection and localization of partial discharge (PD) using ultra-high frequency (UHF) antennas is an important means for equipment fault warning in substations. UHF PD localization system is usually based on time-difference of electromagnetic wave signal. However, this system requires high sampling rate and time synchronization accuracy, which has high cost. This paper studied the feasibility and accuracy of PD direction of arrival (DoA) using power of UHF received signal strength indicator (RSSI) and maximum likelihood (ML) estimation. First, the UHF antenna power pattern was achieved in the offline experiment. Then, a method using maximum likelihood estimator was proposed to handle PD direction of arrival estimation and obtain the preliminary orientation results. Last, in order to obtain the final results, interpolation and clustering were employed to improve the resolution. In a laboratory test, the experimental results show that the average error of direction of arrival is less than 7°, and the cost is lower and the use is more convenient.
|
Received: 04 June 2019
|
|
|
|
|
[1] Portugues I E, Moore P J, Glover I A, et al.RF-based partial discharge early warning system for airinsulated substations[J]. IEEE Transactions on Power Delivery, 2008, 24(1): 20-29. [2] 聂洪岩, 张潮海, 顾哲屹, 等. 局部放电条件下干式空心电抗器匝间绝缘的电老化特性研究[J]. 电工技术学报, 2018, 33(13): 3071-3079. Nie Hongyan, Zhang Chaohai, Gu Zheyi, et al.The research on electrical aging characteristics of turn-to-turn insulation of dry-type air core reactor under partial discharge[J]. Transactions of China Electrotechnical Society, 2018, 33(13): 3071-3079. [3] Moore P J, Portugues I E, Glover I A.Partial discharge investigation of a power transformer using wireless wideband radio-frequency measurements[J]. IEEE Transactions on Power Delivery, 2006, 21(1): 528-530. [4] 李旭涛, 周凯, 万利, 等. 基于TEV法的电缆终端局部放电状态监测装置的研制[J]. 电力系统保护与控制, 2013, 41(12): 98-103. Li Xutao, Zhou Kai, Wan Li, et al.Development of cable termination PD condition monitoring device based on TEV method[J]. Power System Protection and Control, 2013, 41(12): 98-103. [5] 张晓星, 张戬, 肖淞. 大型变压器外置式特高频局部放电传感器设计[J]. 高电压技术, 2019, 45(2): 499-504. Zhang Xiaoxing, Zhang Jian, Xiao Song.Design of external ultra-high frequency partial discharge sensor for large transformer[J]. High Voltage Engineering, 2019, 45(2): 499-504. [6] 刘宇舜, 程登峰, 夏令志, 等. 基于单通道盲源分离算法的局部放电特高频信号去噪方法[J]. 电工技术学报, 2018, 33(23): 5625-5636. Liu Yushun, Cheng Dengfeng, Xia Lingzhi, et al.Partial discharge ultra-high frequency signal denoising method based on single-channel blind source separation algorithm[J] Transactions of China Electrotechnical Society, 2018, 33(23): 5625-5636. [7] 侯慧娟, 盛戈皞, 孙岳, 等. 基于电磁波信号传播衰减模型的变电站局部放电定位方法[J]. 电工技术学报, 2014, 29(6): 326-332. Hou Huijuan, Sheng Gehao, Sun Yue, et al.The localization method of partial discharge in substation based on propagation and attenuation model of electromagnetic signal[J]. Transactions of China Electrotechnical Society, 2014, 29(6): 326-332. [8] Sinaga H H, Phung B T, Blackburn T R.Partial discharge localization in transformers using UHF detection method[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2012, 19(6): 1891-1900. [9] Zhang Yong, Upton D, Jaber A, et al.Radiometric wireless sensor network monitoring of partial discharge sources in electrical substations[J]. International Journal of Distributed Sensor Networks, 2015, 11(9): 1-9. [10] 叶海峰, 钱勇, 刘宗杰, 等. 一种新型的放电源空间定位用特高频传感器[J]. 电工技术学报, 2015, 30(8): 333-340. Ye Haifeng, Qian Yong, Liu Zongjie, et al.A new UHF sensor for spatial location of partial discharge sources[J]. Transactions of China Electrotechnical Society, 2015, 30(8): 333-340. [11] 李臻, 罗林根, 盛戈皞, 等. 基于压缩感知的特高频局部放电定位法[J]. 电工技术学报, 2018, 33(1): 202-208. Li Zhen, Luo Lingen, Sheng Gehao, et al.Ultrahigh frequency partial discharge localization methodology based on compressed sensing[J]. Transactions of China Electrotechnical Society, 2018, 33(1): 202-208. [12] Gaouda A M.Adaptive partial discharge monitoring system for future smart grids[C]//IECON 2013 39th Annual Conference of the IEEE Industrial Electronics Society, Vienna, Austria, 2013: 4982-4987. [13] 陶为戈, 朱昳华, 贾子彦. 基于RSSI混合滤波和最小二乘参数估计的测距算法[J]. 传感技术学报, 2012, 25(12): 1748-1753. Tao Weige, Zhu Yihua, Jia Ziyan.A distance measurement algorithm based on rssi hybrid filter and least square estimation[J]. Chinese Journal of Sensors and Actuators, 2012, 25(12): 1748-1753. [14] Zhang Yong, Upton D, Jaber A, et al.Multiple source localization for partial discharge monitoring in electrical substation[C]//2015 Loughborough Antennas & Propagation Conference (LAPC), Loughborough, UK, 2015: 1-4. [15] Iorkyase E T, Tachtatzis C, Atkinson R C, et al.Localisation of partial discharge sources using radio fingerprinting technique[C]//2015 Loughborough Antennas & Propagation Conference (LAPC), Loughborough, UK, 2015: 1-5. [16] 李臻, 罗林根, 陈敬德, 等. 基于特高频无线传感阵列的新型局部放电定位方法[J]. 高电压技术, 2019, 45(2): 418-425. Li Zhen, Luo Lingen, Chen Jingde, et al.Novel localization method for partial discharge based on utral-high frequency wireless sensor array[J]. High Voltage Engineering, 2019, 45(2): 418-425. [17] 翟国富, 王淑娟, 姜守旭, 等. 电器可靠性失效分析中极大似然估计方法的研究[J]. 中国电机工程学报, 2001, 21(3): 91-93. Zhai Guofu, Wang Shujuan, Jiang Shouxu, et al.The research on method of maximum likelihood estimation for apparatus reliability failure analysis[J]. Proceedings of the CSEE, 2001, 21(3): 91-93. [18] 程学珍, 陈强, 于永进, 等. 基于最大似然译码字的Petri网电网故障诊断方法[J]. 电工技术学报, 2015, 30(15): 46-52. Cheng Xuezhen, Chen Qiang, Yu Yongjin, et al.A fault diagnosis approach of power networks based on maximum likelihood decoding Petri net models[J]. Transactions of China Electrotechnical Society, 2015, 30(15): 46-52. [19] Mishra D K, Sarkar B, Koley C, et al.An unsupervised Gaussian mixer model for detection and localization of partial discharge sources using RF sensors[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2017, 24(4): 2589-2598. [20] 蒋海峰, 张曼, 赵斌炎, 等. 基于改进HilbertHuang变换的电网故障诊断[J]. 电工技术学报, 2019, 34(增刊1): 336-342, 351. Jiang Haifeng, Zhang Man, Zhao Binyan, et al.Fault diagnosis of power grid based on improved HilbertHuang transform[J]. Transactions of China Electrotechnical Society, 2019, 34(S1): 336-342, 351. [21] 张雨金, 杨凌帆, 葛双冶, 等. 基于Kmeans-SVM的短期光伏发电功率预测[J]. 电力系统保护与控制, 2018, 46(21): 118-124. Zhang Yujin, Yang Lingfan, Ge Shuangye, et al.Short-term photovoltaic power forecasting based on Kmeans algorithm and support vector machine[J]. Power System Protection and Control, 2018, 46(21): 118-124. [22] 陈敬德, 李峰, 孙源文, 等. 基于KNN和MSR的局部放电模式识别研究[J]. 电气技术, 2018, 19(1): 10-14. Chen Jingde, Li Feng, Sun Yuanwen, et al.Research on pattern recognition of partial discharge based on KNN and MSR[J]. Electrical Engineering, 2018, 19(1): 10-14. [23] 秦雪, 钱勇, 许永鹏, 等. 基于2D-LPEWT的特征提取方法在电缆局部放电分析中的应用[J]. 电工技术学报, 2019, 34(1): 170-177. Qin Xue, Qian Yong, Xu Yongpeng, et al.Application of feature extraction method based on 2D-LPEWT in cable partial discharge analysis[J]. Transactions of China Electrotechnical Society, 2019, 34(1): 170-177. [24] Peng Xiaosheng, Zhou Chengke, Hepburn D M, et al.Application of K-means method to pattern recognition in on-line cable partial discharge monitoring[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2013, 20(3): 754-761. [25] Kay S M.Fundamentals of statistical signal processing[M]. Upper Saddle River, NJ: Prentice Hall PTR, 1993. [26] Moore P J, Portugues I E, Glover I A.Radiometric location of partial discharge sources on energized high-voltage plant[J]. IEEE Transactions on Power Delivery, 2005, 20(3): 2264-2272. [27] Tian Ye, Kawada M.Simulation on locating partial discharge source occurring on distribution line by estimating the DOA of emitted EM waves[J]. IEEJ Transactions on Electrical and Electronic Engineering, 2012, 7(S1): S6-S13. |
|
|
|