A Transformer Partial Discharge UHF Localization Method Based on TDOA and TS-PSO

被引：0
|
作者：
Li M. [1 ]
Feng X. [2 ]
Man X. [3 ]
机构：
[1] Economic & Technology Research Institute, State Grid Shandong Electric Power Company, Ji'nan, 250000, Shandong Province
[2] State Grid Shandong Maintenance Company, Ji'nan, 250018, Shandong Province
[3] State Grid Shandong Electric Power Construction Company, Ji'nan, 250000, Shandong Province
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 06期
关键词：
Location algorithm; Partial discharge (PD); Tabu search particle swarm optimization (TS-PSO); Time difference of arrival (TDOA); Ultra high frequency (UHF);
D O I：
10.13334/j.0258-8013.pcsee.181083
中图分类号：
学科分类号：
摘要：
Partial discharge (PD) diagnosis and location are beneficial to find fault positions of high-voltage power equipment in the early stage of the aging, which is of importance for the development of maintenance program. An array composed by multiple ultra high frequency(UHF) sensors is used to combine a three-dimensional coordinate system, to spatially localize the PD of transformers. In this paper, the principles of capturing the initial pulses based on the energy accumulation method and implementing the location algorithm based on time difference of arrival (TDOA) were mainly studied. A nonlinear programming problem set with the coordinates of the PD position as a variable was established, and the tabu search particle swarm optimization (TS-PSO) algorithm was used to solve the optimal solution. The algorithm can avoid problems, such as non-convergence, non-unique solutions and high initial value requirements. It not only ensures the speed of the solution, but also guarantees the uniqueness and accuracy of the solution. Laboratory tests and field tests verified the effectiveness of the positioning results. © 2019 Chin. Soc. for Elec. Eng.
引用
收藏
页码：1834 / 1842
页数：8
相关论文
共 21 条
  • [1] Liu Q., Zhu M., Wang Y., Et al., Partial discharge orientation method in substation based on ultra-high frequency phased array theory, Proceedings of the CSEE, 37, 20, pp. 6126-6135, (2017)
  • [2] Yang F., Xu Y., Zheng X., Et al., Test research on DC partial discharges of cross linked polyethylene cable, Proceedings of the CSEE, 36, 24, pp. 6702-6710, (2016)
  • [3] Boya C., Rojas-Moreno M.V., Ruiz-Llata M., Et al., Location of partial discharges sources by means of blind source separation of UHF signals, IEEE Transactions on Dielectrics & Electrical Insulation, 22, 4, pp. 2302-2310, (2015)
  • [4] Xin X., Li J., Ji H., Et al., Study of Cross-shaped ultrasonic array senor applied to partial discharge location in transformers, Proceedings of the CSEE, 33, 21, pp. 154-162, (2013)
  • [5] Zheng S., Chen J., Li C., Et al., Influence of windings on locating partial discharge in transformers by using ultra-high frequency method, High Voltage Engineering, 39, 2, pp. 324-329, (2013)
  • [6] Chen X., Qian Y., Sheng G., Et al., Performance characterization method of partial discharge UHF sensor based on time domain parameters, Proceedings of the CSEE, 35, 21, pp. 5641-5647, (2015)
  • [7] Hou H., Sheng G., Miao P., Et al., Time-delay estimation algorithm of partial discharge UHF signals in substation based on bispectrum, Proceedings of the CSEE, 33, 19, pp. 208-214, (2013)
  • [8] Yang L., Judd M.D., Bennoch C.J., Time delay estimation for UHF signals in PD location of transformers, Proceedings of the 17th Annual Meeting of the IEEE Lasers and Electro-Optics Society, (2004)
  • [9] Tang Z., Li C., Huang X., Et al., Study of partial discharge location in power transformer based on the detection of electromagnetic waves, Proceedings of the CSEE, 36, 3, pp. 96-101, (2006)
  • [10] Zhang G., Zhu M., Wang Y., Et al., Detection and localization of discharge sources in substation area using movable UHF antenna array, Proceedings of the CSEE, 37, 10, pp. 2761-2773, (2017)
123