2011 Annual IEEE India Conference 2011
DOI: 10.1109/indcon.2011.6139588
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Detection of transmission line faults in the presence of STATCOM using wavelets

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Cited by 4 publications
(3 citation statements)
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“…On the other hand, [14] and [15] show correct performance for internal fault owing to high sampling frequency and non‐degradation of high frequency TWs with STATCOM production harmonics; however, they face challenges when identifying external forward fault. In contrast, the double‐end algorithms proposed by [10] and [11] performed correctly. It is worth mentioning that these studies proposed no algorithm for external fault detection.…”
Section: Evaluation Studiesmentioning
confidence: 87%
See 1 more Smart Citation
“…On the other hand, [14] and [15] show correct performance for internal fault owing to high sampling frequency and non‐degradation of high frequency TWs with STATCOM production harmonics; however, they face challenges when identifying external forward fault. In contrast, the double‐end algorithms proposed by [10] and [11] performed correctly. It is worth mentioning that these studies proposed no algorithm for external fault detection.…”
Section: Evaluation Studiesmentioning
confidence: 87%
“…Ref. [10] proposes a fault detection algorithm using the discrete wavelet transform (DWT) and the synchronized current samples at both ends of a compensated TL with STATCOM. The fault index is estimated utilizing the sum of the local and remote end detail coefficients.…”
Section: Introductionmentioning
confidence: 99%
“…Effect of fault resistance and operating mode of FACTS controller on the performance of wavelet based relay is not investigated. Detection and classification of transmission line faults in the presence of STATCOM using wavelet based summation index is discussed in [18]. However, effect of fault resistance and change in operating mode of STATCOM on the relay performance is not investigated.…”
Section: Introductionmentioning
confidence: 99%