Wavelet Transform Approach for Detection and Location of Faults in HVDC System

Murthy, P. Krishna; Amarnath, J.; Kamakshiah, S.; Singh, B.P.

doi:10.1109/iciinfs.2008.4798483

Cited by 45 publications

(23 citation statements)

References 3 publications

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“…In fact, fault location methods implemented on HVDC lines are all based on travelling wave without exception. Some examples of these are [13][14][15]. In [13] is proposed by Murthy et al a method for fault location in HVDC lines using wavelet transforms.…”

Section: -P2 Nd European Energy Conferencementioning

confidence: 99%

“…Some examples of these are [13][14][15]. In [13] is proposed by Murthy et al a method for fault location in HVDC lines using wavelet transforms. The ability of the wavelet transform to locate both time and frequency makes it possible to simultaneously determine the sharp transitions of signals and the location of their occurrence.…”

Section: -P2 Nd European Energy Conferencementioning

confidence: 99%

“…-If the fault occurs near a line end, is very difficult to identify the wavehead with information of this line end due to the high speed of the travelling wave [12,13,15,16]. -Another difficulty arises for faults near the buses or for those faults occurring at near zero voltage inception angle because, if the voltage is zero when the fault starts, there is not an abrupt change of the line continuity and a wavehead is not produced [12,13,15,16]. Table 1 shows a summary of all the fault location methods discussed here.…”

Section: -P2 Nd European Energy Conferencementioning

confidence: 99%

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Travelling Wave Based Fault Location Analysis for Transmission Lines

Andrade

Leão

2012

EPJ Web of Conferences

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Abstract. This paper presents a review of the state of the art for fault location methods in transmission lines based on travelling waves. The motivations that led to these methods are explained historically. Also, a critical analysis, showing the advantages and disadvantages of each of them and their most common applications, is performed. Finally, a comparative analysis between two of the most widely used methods is carried out using real faults, in order to show the results' sensitivity to changes in the line parameters.

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Section: -P2 Nd European Energy Conferencementioning

confidence: 99%

Section: -P2 Nd European Energy Conferencementioning

confidence: 99%

Section: -P2 Nd European Energy Conferencementioning

confidence: 99%

See 1 more Smart Citation

Travelling Wave Based Fault Location Analysis for Transmission Lines

Andrade

Leão

2012

EPJ Web of Conferences

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“…Content may change prior to final publication. based on impedance measurements [13] and alternatives are based on signal processing approaches such as artificial neural networks [14], and Wavelet Transform [15]. There is also a method based on the spectrum analysis of traveling wave natural frequency [16].…”

Section: Introductionmentioning

confidence: 99%

Fault Section Identification Protection Algorithm for Modular Multilevel Converter-Based High Voltage DC With a Hybrid Transmission Corridor

Lewis

Grainger

Hassan

et al. 2016

IEEE Trans. Ind. Electron.

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This work addresses the protection of a high voltage DC (HVDC) transmission system, utilizing the modular multilevel converter (MMC) topology in addition to incorporating a hybrid transmission corridor (transmission line including overhead line and cable sections). A solution is proposed for identifying the section within which a DC fault is located for the purpose of maintaining power delivery. A detailed model of the MMC-HVDC system is simulated using PSCAD, and an in depth fault analysis is performed. A characteristic signal is discovered and then implemented into a novel solution. The end result is a fault section identification protectionalgorithm, implementing protective relay coordination to protect the system from false circuit breaker reclose as well as enabling fast system restart for nonpermanent faults. This restart protection algorithm is implemented without the use of a communications channel between converter stations, introducing novelty and quick restart response.

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“…Moreover, the accuracy of the one-end traveling based protection scheme can be highly degraded due to multiple and superimposed reflections and refractions of traveling waves [237]. In recent years, wavelets, as a powerful time-frequency signal processing tool have been suggested to identify the wave front arrival time especially in the presence of considerable measurement noise [241]- [242]. Nevertheless, there is a blind zone of protection for detecting close-up faults in both methods [232], [241].…”

Section: A F R R F R R F R E T E a U T T E A U T Tmentioning

confidence: 99%

Hybrid Energy Storage Implementation in DC and AC Power System for Efficiency, Power Quality and Reliability Improvements

Farhadi¹

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Wavelet Transform Approach for Detection and Location of Faults in HVDC System

Cited by 45 publications

References 3 publications

Travelling Wave Based Fault Location Analysis for Transmission Lines

Travelling Wave Based Fault Location Analysis for Transmission Lines

Fault Section Identification Protection Algorithm for Modular Multilevel Converter-Based High Voltage DC With a Hybrid Transmission Corridor

Hybrid Energy Storage Implementation in DC and AC Power System for Efficiency, Power Quality and Reliability Improvements

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