A new fault location technique for radial distribution systems based on high frequency signals

Magnago, Fernando; Abur, Ali

doi:10.1109/pess.1999.784386

Cited by 51 publications

(34 citation statements)

References 10 publications

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“…Such an approach disregards the information provided by the CWT time decomposition that can also be used to successfully locate the fault as proposed in [10] and [11].…”

Section: Integrated Use Of Time-frequency Wavelet Decomposition mentioning

confidence: 99%

“…In particular, the paper proposes a two step approach: 1) identification of the frequencies associated with the local maxima of the wavelet transform energy scalogram as done in [16] and 2) improved identification of by inspecting time differences between consecutive maxima of the wavelet transform coefficients within a frequency interval (e.g., [10] and [11]). The structure of the paper is the following.…”

Section: Introductionmentioning

confidence: 99%

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Integrated Use of Time-Frequency Wavelet Decompositions for Fault Location in Distribution Networks: Theory and Experimental Validation

Borghetti

Bosetti

Nucci

et al. 2010

IEEE Trans. Power Delivery

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202

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Abstract-The paper presents a procedure for fault location in distribution networks, based on the use of the integrated time-frequency wavelet decompositions of the voltage transients associated with the fault-originated travelling waves. The proposed analysis of time-frequency wavelet decompositions has been found to improve the identification accuracy of the frequencies associated to the characteristic patterns of a fault location with respect to a sole frequency-domain wavelet analysis. Several laboratory fault tests, carried out by means of a reduced-scale model of a distribution feeder, are used to illustrate the characteristics and assess the performances of the proposed improved procedure. The paper also illustrates the application of the proposed procedure to a transient, originated by a permanent phase-to-phase fault, measured in a real distribution network in which a post-test analysis has identified the faulted branch.

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“…Such an approach disregards the information provided by the CWT time decomposition that can also be used to successfully locate the fault as proposed in [10] and [11].…”

Section: Integrated Use Of Time-frequency Wavelet Decomposition mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrated Use of Time-Frequency Wavelet Decompositions for Fault Location in Distribution Networks: Theory and Experimental Validation

Borghetti

Bosetti

Nucci

et al. 2010

IEEE Trans. Power Delivery

Self Cite

202

View full text Add to dashboard Cite

show abstract

“…5, illustrates the step-by-step fault-location procedure proposed in this study. As can be seen, the proposed procedure, similarly to other methods proposed in the literature (e.g., [8], [9]), requires the knowledge of the network topology as well as its parameters. Such knowledge is used to build a corresponding network model where the lines are represented, for instance, by using constant-parameters line models [31].…”

Section: Time-domain Emtr-based Fault-location Algorithmmentioning

confidence: 99%

An efficient method based on the electromagnetic time reversal to locate faults in power networks

Razzaghi

Lugrin²,

Mahmoudimanesh³

et al. 2014

2014 IEEE PES General Meeting | Conference &Amp; Exposition

114

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Abstract-This paper presents a new method based on the electromagnetic time-reversal (EMTR) theory for locating faults in power networks. The applicability of the EMTR technique to locate faults is first discussed. Using the classical transmission-line equations in the frequency domain, analytical expressions are derived to infer the location of the fault. The accuracy of the proposed method is then discussed in relation to the number of observation points adopted to record the fault-originated electromagnetic transients. Then, this paper illustrates the extension of the proposed method to the time domain. The experimental validation of the proposed method is presented by making reference to a reduced-scale coaxial cable system where real faults are hardware-emulated. Finally, the application of the proposed EMTRbased fault-location method to Electromagnetic Transients Program-simulated cases is presented. The simulated test cases are: a mixed overhead/coaxial cable transmission system and the IEEE 34-bus distribution test feeder. Compared to other transient-based fault-location techniques, the proposed method presents a number of advantages, namely, its straightforward applicability to inhomogeneous media (mixed overhead and coaxial power cable lines), the use of a single observation (measurement) point, and robustness against fault type and fault impedance.

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“…"A new fault location technique for radial distribution systems based on high-frequency signals [24]" describes a single-ended fault location technique for radial distribution feeders based on the information provided by the measurements at the substation and the feeder configuration. The proposed method first identifies the fault path, based on the The following methods for fault location using knowledge based techniques seem more promising: "AI-based methods in practical fault location of medium voltage distribution feeders [38]" describes a fault location expert system, an application of a distribution management system, which is a part of the integrated control center environment composed of different computer systems and distribution automation.…”

Section: A223 Hidden Failuresmentioning

confidence: 99%

Fault Locating, Prediction and Protection (FLPPS)

Yinger¹,

Venkata²,

Centeno³

2010

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A new fault location technique for radial distribution systems based on high frequency signals

Cited by 51 publications

References 10 publications

Integrated Use of Time-Frequency Wavelet Decompositions for Fault Location in Distribution Networks: Theory and Experimental Validation

Integrated Use of Time-Frequency Wavelet Decompositions for Fault Location in Distribution Networks: Theory and Experimental Validation

An efficient method based on the electromagnetic time reversal to locate faults in power networks

Fault Locating, Prediction and Protection (FLPPS)

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