Title
Rearrangement Method of Reducing Fault Location Error in Tied Uncompleted Parallel Lines
Abstract
In Tied Uncompleted Parallel (TUP) line, locating faults via single-ended fault location algorithm leads to a considerable final error yielding unacceptable outage time. On the other hand, utilizing modern techniques such as Two-ended Protection method, in these temporarily transmission lines are not economically justified. This paper proposes a rearrangement method of tied uncompleted transmission lines to improve the protection coordination and fault location via single ended fault location. This novel method aims to reduce the error of fault location in the line without imposing an unnecessary financial burden or installing new devices. The proposed technique can locate a fault online, resulting less outage time and more reliability of the network. The simulation results, as well as those of field test, indicate the effectiveness of the proposed method in locating fault according to different constraints such as the protection coordination. This method has already been implemented in the Fars-Iran power system since 2018, and it has yielded outstanding results in practice. The technique is easy to execute and considerably reduces the fault location error and the outage time. Having derived the factors of fault location error, the rearrangement technique suggests a new arrangement based on the fault location error factor reduction. In this paper, it is approved that the proposed algorithm can effectively locate faults in uncompleted transmission lines via simulation results as well as practical experience.
Year
DOI
Venue
2022
10.1109/ACCESS.2022.3174117
IEEE ACCESS
Keywords
DocType
Volume
Fault location, Circuit faults, Power transmission lines, Transmission line measurements, Relays, Impedance, Voltage measurement, Power fault location, protection coordination, single-ended protection, transmission line rearrangement
Journal
10
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Hooman Torkaman100.34
Ehsan Zeraatkar200.34
Nasim Deyhimi300.34
Hassan Haes Alhelou4813.42
Pierluigi Siano527161.21