Abstract
The increasing use of modern measuring devices, such as Feeder Terminal Units (FTUs), on power networks can provide multiple types of information for fault location on distribution systems. Using these devices, in this paper, a novel automatic matrix-based algorithm for the identification and isolation of faulted feeder sections on distribution systems is proposed. The algorithm works in two stages: the first stage automatically identifies the radial feeders that make up the whole system and represents the feeders’ topology in matrix form; and the second stage automatically identifies the faulted section of the identified feeder and opens the relevant switches to isolate it. The algorithm can be applied to single and multiple faults, as it operates using measuring device information and detecting the status of switch devices. It does not require any electrical parameters and it is not affected by the fault type or fault resistance. The algorithm was thoroughly tested using a large distribution system and was found to efficiently identify and isolate the faulted feeder section in each case.
Highlights
Fault location on distribution systems was a difficult task
As the algorithm does not use any physical or electrical parameters of the feeders, it is not affected by reconfigurations of the distribution system; it is not affected by the fault type or fault/arc resistance [29,30,31,32,33]; and it can be used on inhomogeneous feeders consisting of sections of both overhead line and underground cable
Comparing with the mentioned methods, the proposed algorithm does not use any physical or electrical parameters of the feeders. It is not affected by the fault type or fault/arc resistance, and it can be used on inhomogeneous feeders consisting of sections of both overhead line and underground cable
Summary
Fault location on distribution systems was a difficult task. Though methods to identify distribution system topologies have been proposed [25,26,27,28], they do not mention how to transform the network into mathematical forms that can be used for faulted section location. Based upon the information stored in such a database, a two-stage fault location and isolation algorithm for distribution systems is proposed. Novelty 1: The method can automatically recognize the radial networks from the whole distribution systems and transform them into matrix form. This is novel because other methods can only do one of the two parts. Fault location and isolation are combined in the proposed method
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