Waveform characteristics of underground cable failures

Kulkarni, Saurabh; Allen, A.; Chopra, Shivaz; Santoso, Surya; Short, T.A.

doi:10.1109/pes.2010.5590158

Cited by 16 publications

(21 citation statements)

References 8 publications

(9 reference statements)

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“…19,20 An important feature of the arc voltage is to remain constant over a wide range of arc currents and arc lengths, resembling a square waveform rich in odd harmonics. 2,4,20 The arc can be modeled as a resistance that varies in function of the arc voltage and current. In this context, mainly 2 arc models have been proposed, the dynamic [21][22][23] and the static arc models.…”

Section: Incipient Fault Modelingmentioning

confidence: 99%

“…The parameters of arc voltage models were selected considering 4,19,[21][22][23] as presented in section 2.3 ( Table 5). The method's precision was evaluated through the fault distance estimate percentage error, given by Equation 29:…”

Section: Case Studymentioning

confidence: 99%

“…Faults in underground cables are generally classified into 2 categories: incipient and permanent faults. Also, incipient faults are usually single‐line‐to‐ground (SLG) type …”

Section: Introductionmentioning

confidence: 99%

“…However, incipient faults in underground cables have specific uncommon characteristics. Initially, they have a typical duration of less than 1 cycle at the power frequency, do not sensibilize overcurrent protection, and transform into permanent faults within days or months …”

Section: Introductionmentioning

confidence: 99%

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Incipient fault location method for distribution networks with underground shielded cables: A system identification approach

Bretãs

Herrera-Orozco

Orozco-Henao

et al. 2017

Int Trans Electr Energ Syst

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Summary Incipient faults in underground shielded cables can affect greatly distribution system reliability. These faults are usually a consequence of a gradual aging process on cable isolation material and over time become permanent faults. This paper presents an incipient fault location method for distribution networks with underground shielded cables. The fault location method is composed by a time domain system model and a parameter estimation approach. The model is derived by using phase component representation of voltage and current signals, considering 1‐terminal measurements and realistic hypotheses. Inherent characteristics of underground distribution networks with shielded cables and incipient faults, as unbalanced operation, complete line model, and arcing phenomena are considered during the problem statement. The time‐domain model is an overdetermined system of linear equations. Incipient fault location is estimated through a parameter estimation approach, based on a non‐negative weighted least square estimator. Input data are preprocessed with smooth and curve‐fitting approaches. Output data are postprocessing using a back substitution approach. Validation using real‐life distribution network with underground shielded cables data is presented. Comparative test results with the state of art characterize the proposed approach precision and robustness. High accuracy, easy to implement methodology without hard‐to‐design parameters, and only local terminal measurements consideration highlight potential aspects for real‐life applications.

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Section: Incipient Fault Modelingmentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

“…Faults in underground cables are generally classified into 2 categories: incipient and permanent faults. Also, incipient faults are usually single‐line‐to‐ground (SLG) type …”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Incipient fault location method for distribution networks with underground shielded cables: A system identification approach

Bretãs

Herrera-Orozco

Orozco-Henao

et al. 2017

Int Trans Electr Energ Syst

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“…Conversely, externally originated fault events are induced by animal contacts, tree contacts, vehicle accidents, or natural phenomena such as lightning but also ambient conditions (humidity, temperature, etc.) typically affecting cables .…”

Section: Introductionmentioning

confidence: 99%

Feature analysis and automatic classification of short-circuit faults resulting from external causes

Núñez

Meléndez

Kulkarni

et al. 2012

Int. Trans. Electr. Energ. Syst.

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SUMMARY This paper aims to determine unique features in voltage and current waveforms of a given disturbance event so as to automatically identify its root cause. In particular, the paper focuses on short‐circuit faults caused by external factors such as animal and tree contacts, lightning‐induced events, and cable failures. The proposed methodology consists of analyzing sets of known events caused by similar external agents to identify unique features characterizing the set and at the same time discriminate the remaining event subset. The proposed methodology has been implemented and tested using real‐world fault events with a classification rate of 93.4%. This result demonstrates a good performance in identifying the cause of the events. In addition, the methodology rejects those events that do not follow any cause. Copyright © 2012 John Wiley & Sons, Ltd.

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Comparative Fault Detection Between DWT and STFT in Overcurrent Relays

Chiradeja,

Ananwattanaporn,

Lertwanitrot

et al. 2024

IEEE Access

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This study proposes a protection relay using a microcontroller to detect and classify faults in transmission lines based on the Wavelet transform. An experimental model was constructed from an actual 115 kV transmission system prototype. The current signal was observed based on the fault type, phase, and position. Clark's transform and the discrete Wavelet transform (DWT) were applied to transform signals for analysis. The positive and zero sequences obtained from Clark's transform were used for fault detection and fault classification, respectively. Moreover, the performances between the DWT and the short-time Fourier Transform (STFT) were compared in terms of accuracy and processing time. In addition, the double-detection technique was used to confirm the accuracy of fault detection. Results show that the proposed method is efficient for fault detection and classification. This finding allows the researcher to choose the appropriate analytical method. Moreover, it can also be used as the basis for overcurrent relay algorithm design in the effort to develop more advanced technologies.

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Waveform characteristics of underground cable failures

Cited by 16 publications

References 8 publications

Incipient fault location method for distribution networks with underground shielded cables: A system identification approach

Incipient fault location method for distribution networks with underground shielded cables: A system identification approach

Feature analysis and automatic classification of short-circuit faults resulting from external causes

Comparative Fault Detection Between DWT and STFT in Overcurrent Relays

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