A new approach to fault location in three-phase underground distribution system using combination of wavelet analysis with ANN and FLS

Rafinia, Ali; Moshtagh, Jamal

doi:10.1016/j.ijepes.2013.09.011

Cited by 96 publications

(55 citation statements)

References 16 publications

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“…In this sense, it is possible to distinguish two approaches: time domain methods [37][38][39], or frequency domain methods where MRA [40] is one of their most common tools. Thus, this approach traditionally is also supported by any of the classification techniques, such as ANN [41], FL [42], a combination of both, Adaptive-Network-based Fuzzy Inference System (ANFIS) [43], etc.…”

mentioning

confidence: 99%

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

et al. 2016

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Abstract: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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confidence: 99%

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

et al. 2016

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“…Wavelet decomposition of the voltage transients associated with the fault‐originated travelling waves was proposed . Artificial intelligent tools such as ANNs or Fuzzy Logic were used . However, huge training data and system uncertainties affect the performance of such methods seriously.…”

Section: Introductionmentioning

confidence: 99%

Earth fault location determination independent of fault impedance for distribution networks

Elsadd

Elkalashy

Kawady

et al. 2016

Int. Trans. Electr. Energ. Syst.

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Summary This article introduces a new earth fault location algorithm for both single and parallel feeders in distribution networks with single end measurements. The proposed algorithm depends on using the equality between the computed sequence components of the current at the fault point. The algorithm is independent of the dynamic arcing or static fault impedances. Then the faulted network can be decomposed into a prefault network and a pure fault network. The different types of connections of load transformer are considered in the study. This is because of their known influence on the direction of earth fault current in the faulty network. Moreover, the existence of distributed generation is considered during formulating the mathematical core of the proposed algorithm. Hence, the sequence current components at the faulty point can be derived without the need to measure the distributed generation current contribution or its terminal voltage with all varieties of load transformer connection. The proposed algorithm is tested via simulating a real 11 kV cascaded parallel‐radial earthed distribution feeder from the Egyptian distribution network using Matlab. Different test cases are examined to visualize the performance of the proposed algorithm with a variety of fault conditions, including the fault impedance, loading, load transformer connection, and existence of distributed generations. All applied simulation tests ensure the efficacy of the proposed algorithm for estimating the fault distance in distribution systems with considerable distributed generation insertion and considering all possibilities of load transformer connection.

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“…However, the main disadvantage is the requirement of a huge amount of input data to be trained to represent one fault location. A combination of wavelet analysis and support vector regression (SVR) was presented in [16]. The wavelet transform modulus maxima and arriving time of zero and aerial mode components of travelling wave were extracted by wavelet transform to be used as input data for training the SVR to predict the location of the fault.…”

Section: Introductionmentioning

confidence: 99%

Studies on the application of wavelet families for a high impedance fault location algorithm in a distribution network

Ali¹,

Bakar²,

Tan³

et al. 2016

Turk J Elec Eng & Comp Sci

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Abstract:Detecting high impedance faults in a distribution network is a great challenge and locating one is even more challenging. This paper will present an enhanced high impedance fault location algorithm based on the database technique. This paper is an extension of a faulty section identification algorithm developed previously. However, in this paper, the performance of the previous algorithm is investigated first in terms of different sampling rate and window size. Then these parameters will be used as a standard parameter to study the effectiveness of different types of mother wavelets. Each mother wavelet will be used to extract important features of a voltage signal from a single measurement point in a typical 38-node underground distribution network.

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A new approach to fault location in three-phase underground distribution system using combination of wavelet analysis with ANN and FLS

Cited by 96 publications

References 16 publications

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

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

Earth fault location determination independent of fault impedance for distribution networks

Studies on the application of wavelet families for a high impedance fault location algorithm in a distribution network

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