Fuzzy decision making applied to high impedance fault detection in compensated neutral grounded MV distribution systems

Ruz, F.; Fuentes, J.A.

doi:10.1049/cp:20010161

Cited by 7 publications

(3 citation statements)

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“…Table 2 shows the results of our algorithm. According to this table (Table 2, rows 1-16), the proposed method not only can detect HIF occurred separately on different ground types (such as sand, wet soil, dry soil, asphalt and lawn) and on different positions ( Table 2, rows 1-10), but also can detect combined HIFs accurately ( Table 2, rows [11][12][13][14][15][16]. Also rows 17 to 28 show that the proposed algorithm can identify non-fault disturbances at different situations.…”

Section: Resultsmentioning

confidence: 99%

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An Approach to Detection of High Impedance Fault Using Discrete Wavelet Transform and Artificial Neural Networks

et al. 2009

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High impedance faults (HIF) are faults that are difficult to detect by conventional protection relays. In this paper, a new HIF model is introduced and a novel methodology is presented to detect HIF by means of discrete wavelet transform (DWT) and artificial neural network (ANN). The distorted waveforms (HIF, load switching, line switching, capacitor switching and non-linear loads that behave similar to HIF current) are generated using PSCAD/EMTDC, captured with a sampling rate of 20 kHz and de-noised using DWT to obtain signals with higher signal-to-noise ratio. DWT is used to decompose the distorted signal and to extract its useful information. Appropriate feature vectors are created and applied in training the ANN. The effectiveness of the proposed method was tested using a wide spectrum of disturbances. Simulations are carried out to confirm the suitability and capability of the proposed method in HIF detection.

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Section: Resultsmentioning

confidence: 99%

“…Due to the above mentioned difficulties, intelligent or combined methods are used for HIF detection by some researchers. Ruz and Fuentes [13] used fuzzy method to detect HIF in compensated neutral grounded MV distribution systems. They introduced a new algorithm for this job.…”

Section: Introductionmentioning

confidence: 99%

An Approach to Detection of High Impedance Fault Using Discrete Wavelet Transform and Artificial Neural Networks

et al. 2009

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show abstract

“…This method is based on the analysis of feeder responses to impulse waves, which are periodically injected in to the feeder. In [129], a fuzzy inference system is proposed to detect high impedance faults. In [130], researchers use DWT to extract features from the signal and a fuzzy inference set with genetic algorithms to detect high impedance faults.…”

Section: Knowledge Based Techniquesmentioning

confidence: 99%