1.四川中电启明星信息技术有限公司，四川省成都市 610041;2.四川大学电气工程学院， 四川省成都市 610065
1.Aostar Information Technology Co., Ltd., Chengdu 610041, China;2.School of Electrical Engineering, Sichuan University, Chengdu 610065, China
Aiming at the problem of clock drift of meters and identification signal crosstalk of common null line in the distribution station area in the identification of relationship between household transformers by high-speed power line carrier (HPLC), an identification method for the relationship between household transformers based on discrete Frechet distance is proposed. Firstly, the identification method for the relationship between household transformers in the distribution station area is constructed. At the moment of voltage zero crossing, the improved identification signal of multicarrier frequency regulation characteristic is superimposed on the low-voltage line to identify the relationship between household transformers. Secondly, the cleaning method for the identification characteristic data is constructed to eliminate the influence of the time axis offset in the identification characteristic data on the identification of relationship between household transformers. Thirdly, the verification method for the relationship between household transformers is constructed. The discrete Frechet distance is used to compare the voltage curve similarity between meters, so as to form accurate relationship between household transformers. The distribution matrix of relationship between household transformers from near to far in the distribution station area is then established. Finally, the field application results of a distribution Internet of Things demonstration area in Sichuan Province show that the proposed method is more accurate than HPLC in the identification of relationship between household transformers.
TANG Donglai, NI Pingbo, ZHANG Jie, et al. Identification Method for Relationship Between Household Transformers Based on Discrete Frechet Distance[J/OL]. Automation of Electric Power Systems, http://doi. org/10.7500/AEPS20200704003.