A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems

被引:26
|
作者
Personal, Enrique [1 ]
Garcia, Antonio [1 ]
Parejo, Antonio [1 ]
Francisco Larios, Diego [1 ]
Biscarri, Felix [1 ]
Leon, Carlos [1 ]
机构
[1] Univ Seville, Dept Elect Technol, Seville 41011, Spain
来源
ENERGIES | 2016年 / 9卷 / 12期
关键词
power distribution network; power delivery; underground distribution system; fault location; FUZZY INFERENCE SYSTEM; TRANSMISSION-LINES; CLASSIFICATION TECHNIQUE; WAVELET TRANSFORM; DIAGNOSIS SCHEME; ALGORITHM; NETWORKS; TECHNOLOGIES; PERFORMANCE; INDICATORS;
D O I
10.3390/en9121022
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In the last few decades, the Smart Grid paradigm presence has increased within power systems. These new kinds of networks demand new Operations and Planning approaches, following improvements in the quality of service. In this sense, the role of the Distribution Management System, through its Outage Management System, is essential to guarantee the network reliability. This system is responsible for minimizing the consequences arising from a fault event (or network failure). Obviously, knowing where the fault appears is critical for a good reaction of this system. Therefore, several fault location techniques have been proposed. However, most of them provide individual results, associated with specific testbeds, which make the comparison between them difficult. Due to this, a review of fault location methods has been done in this paper, analyzing them for their use on underground distribution lines. Specifically, this study is focused on an impedance-based method because their requirements are in line with the typical instrumentation deployed in distribution networks. This work is completed with an exhaustive analysis of these methods over a PSCAD (TM) X4 implementation of the standard IEEE Node Test Feeder, which truly allows us to consistently compare the results of these location methods and to determine the advantages and drawbacks of each of them.
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页数:30
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