1.长沙理工大学电气与信息工程学院，湖南省 长沙市 410114;2.国网九江市濂溪区供电公司，江西省 九江市 332000;3.国网湘潭供电公司，湖南省 湘潭市 411104;4.国网娄底供电公司，湖南省 娄底市 417000
1.College of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410114, China;2.State Grid Jiujiang Lianxi Power Supply Company, Jiujiang 332000, China;3.State Grid Xiangtan Power Supply Company, Xiangtan 411104, China;4.State Grid Loudi Power Supply Company, Loudi 417000, China
This work is supported by National Natural Science Foundation of China (No. 51877012), Key Projects of Hunan Provincial Department of Education (No. 18A121) and Hunan Provincial Innovation Foundation for Postgraduate (No. CX2018B557).
The distribution network topology is complex and has many branches. The fault location method of distribution network with single fault characteristics mostly has the disadvantages of poor reliability and low positioning accuracy. For this reason,a new method for fault location of distribution network based on transient waveform correlation is proposed.When a fault occurs on the distribution line, the fault transient waveform is detected in real time and a time-frequency matrix is constructed by using S-transform.Then the similarity between the constructed time-frequency matrix and the time-frequency matrix in each branch sample database is calculated and used to determine the fault branch. The fault range is determined according to the difference in the overall amplitude of the transient waveform when the fault is in different locations of the same branch,and the exact location of the fault point is calculated by using the proportional relationship between the overall amplitude deviation and the location of the fault point.The simulation analysis shows that the proposed method can locate faults reliably and accurately under different fault conditions, which is expected to improve the accuracy and reliability of the fault location in the distribution network.
LI Zewen,LIU Jidian,XI Yanhui,et al.Fault Location Method for Distribution Network Based on Transient Waveform Correlation[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20191122006.