Analysis and prevention of animal-caused faults in power distribution systems

Chow, Mo-Yuen; Taylor, L.S.

doi:10.1109/61.400829

Cited by 32 publications

(2 citation statements)

References 2 publications

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“…Animal and bird contacts associated with power lines are more common during the migratory season. A similar analysis for animal contact events was presented in [9]. Based on the month of occurrence, events are classified into four types; Summer (June-August), Fall (September-November), Winter (December-February) and Spring (March -May).…”

Section: Characteristic Signature: Time Stampmentioning

confidence: 99%

Waveform characterization of animal contact, tree contact, and lightning induced faults

Kulkarni

Lee

Allen

et al. 2010

IEEE PES General Meeting

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In this paper signal processing tools are used to uncover common and unique characteristics of faults resulting from animal contacts, tree contacts and lightning. For each fault type a large number of voltage and current waveform data sets measured at monitoring stations on distribution systems are analyzed. The characteristics include but are not limited to the presence of impulse-like oscillations, the number of phases involved, the duration of fault event, the phase angle, the time of day, the spectral content in the time-frequency and time-scale domains, the rate of rise of voltage or current, and the arc voltage. An individual characteristic alone is insufficient to provide an estimate of the fault type. However, by combining common and unique characteristics extracted from a fault event, it may be possible to estimate the fault type accurately. Index Terms-Diagnosis (fault), power distribution faults, power quality, power system monitoring, power system lightning effects, vegetation, animals, wavelet transforms Alicia J. Allen received the B.S. and M.S. degrees from The Department of Electrical and Computer Engineering at The University of Texas at Austin, where she is currently pursuing the Ph.D. degree in energy systems. Her research interests include power quality, renewable energy and synchronized phasor measurements. Surya Santoso (M'96-SM'02) received the M.

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Section: Characteristic Signature: Time Stampmentioning

confidence: 99%

Waveform characterization of animal contact, tree contact, and lightning induced faults

Kulkarni

Lee

Allen

et al. 2010

IEEE PES General Meeting

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“…A.2.4.4.11 Analysis and prevention of animal-caused faults in power distribution systems [62] Abstract: The reliability, security, and quality of power systems are significantly affected by distribution faults. One of the current trends concerning distribution faults is the implementation of more preventive measures instead of reactive measures.…”

Section: Issuesmentioning

confidence: 99%

Fault Locating, Prediction and Protection (FLPPS)

Yinger¹,

Venkata²,

Centeno³

2010

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Prediction of reliability and public safety from covered rates using time series modeling for distribution systems

Shen

2010

Euro. Trans. Electr. Power

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SUMMARYThe overhead distribution system has been constructed using mainly bare wires, but the bare wire is not insulated. Covered conductors used in overhead lines have achieved positive results during the recent year. For overhead distribution systems, the reliability of covered overhead lines could potentially be improved using various alternative technologies. The reliability index is a time series to be observed and collected per year in distribution systems. In addition, another time series is still to be concerned about the public safety on the occurred number of public received electric shocks per year in Taiwan Power Company (TPC). This paper tries to study both worthy of discussion on the effect of the reliability and the public life safety for distribution systems using covered conductors. The covered rate (CR) is the ratio of the line length using covered conductors to the total line length in a distribution system. The another purpose is to focus on how to predict the reliability and the public safety from covered rates using time series modeling in model-building process. This paper focuses on how to forecast the reliability indices and public safety on covered rates using two regression models which are logistic regression and dynamic regression models. The dynamic regression model is to combine the logistic regression model with time series errors in autoregressivemoving average analysis process. Results of the fitted regression models, the logistic regression and dynamic regression models, with the square of the correlation are presented from TPC.

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Analysis and prevention of animal-caused faults in power distribution systems

Cited by 32 publications

References 2 publications

Waveform characterization of animal contact, tree contact, and lightning induced faults

Waveform characterization of animal contact, tree contact, and lightning induced faults

Fault Locating, Prediction and Protection (FLPPS)

Prediction of reliability and public safety from covered rates using time series modeling for distribution systems

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