High impedance fault arcing on sandy soil in 15 kV distribution feeders: contributions to the evaluation of the low frequency spectrum

Emanuel, A.E.; Cyganski, David; Orr, John A.; Shiller, Steven E.; Gulachenski, E.M.

doi:10.1109/61.53070

Cited by 240 publications

(138 citation statements)

References 4 publications

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“…Other researcher improved the model by adding and air gap that helped achieve the reigniting phenomena observed on staged faults. [135] where two dc sources, VP and VN, connected in anti-parallel by means of two diodes are used to model the fault. During the positive half cycle, the current flows through the VP terminal and during the negative cycle through the VN terminal, and these voltage values are maintained constant during the simulations.…”

Section: Knowledge Based Techniquesmentioning

confidence: 99%

Fault Locating, Prediction and Protection (FLPPS)

Yinger¹,

Venkata²,

Centeno³

2010

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Section: Knowledge Based Techniquesmentioning

confidence: 99%

Fault Locating, Prediction and Protection (FLPPS)

Yinger¹,

Venkata²,

Centeno³

2010

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“…The high impedance ground fault model applied in simulation experiments was developed basing on research and considerations presented in [3,4,9] but some new features were also included into the model implementation. To obtain dynamic features of the ground fault nonlinear impedance the digital arc model described in [9] was adopted.…”

Section: A the Arc Model Adoptedmentioning

confidence: 99%

“…2. The characteristic corresponds fairly to the experimental results presented in [4]. The high impedance model was switched into the modeled MV network at points of fault inception.…”

mentioning

confidence: 99%

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Wavelet transform approach to high impedance fault detection in MV networks

Michalík

Rebizant

Lukowicz

et al. 2005

2005 IEEE Russia Power Tech

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-Application of wavelet transform technique to high impedance arcing fault detection in distribution networks is presented. Phase displacement between discrete wavelet coefficients calculated for zero sequence voltage and current signals at natural network frequency is tracked. The developed wavelet based HIF detector has been tested with EMTP-ATP generated signals, proving better performance than traditionally used algorithms and methods. The protection method proposed is efficient, robust and may be used for HIF detection independently of the network neutral point grounding mode.Index Terms -protective relaying, wavelet transform, distribution networks, high impedance arcing faults, transient analysis.

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“…The installation and maintenance cost is very high. Electrical methods [6] such as proportional relay algorithm, arc detection methods, Kalman filtering method [7], low order current harmonic method [8,9], but each method has its own drawback. The early work examined arc frequency relaying and high frequency current detection but is not successful.…”

Section: Introductionmentioning

confidence: 99%

Fault Detection and Classification on a High voltage Transmission Line Using Wavelet Transforms

Thokala¹

2017

IJRASET

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Electrical power system consists of many different complex dynamic and interacting elements, which are always prone to disturbance or an electrical fault. Transmission lines are exposed to atmosphere, the faults due to transmission lines are about 50% as compared to different types of faults that occur in the power system. The faults on electrical power system transmission lines are supposed to be first detected and then be classified correctly and should be cleared in least fast as possible time. This paper describes a fault-detection technique of faults in high voltage transmission lines using the wavelet transform. The wavelet transform (WT) has been successfully applied in many fields. The technique is based on using the absolute sum value of coefficients in multi resolution signal decomposition (MSD) based on the discrete wavelet transform (DWT). A fault indicator and fault criteria are then used to detect the faults in the transmission line. Wavelet transform is best suited for fault detection and classification. This paper describes a new fault detection technique which involves capturing the current signals generated in a system under faults. The detection process is based on calculating the absolute sum of the wavelet transform detail coefficients for one period. Wavelet transform is used for the decomposition of signals and feature extraction.

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High impedance fault arcing on sandy soil in 15 kV distribution feeders: contributions to the evaluation of the low frequency spectrum

Cited by 240 publications

References 4 publications

Fault Locating, Prediction and Protection (FLPPS)

Fault Locating, Prediction and Protection (FLPPS)

Wavelet transform approach to high impedance fault detection in MV networks

Fault Detection and Classification on a High voltage Transmission Line Using Wavelet Transforms

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