2016 IEEE 7th Power India International Conference (PIICON) 2016
DOI: 10.1109/poweri.2016.8077203
|View full text |Cite
|
Sign up to set email alerts
|

Detection of transmission line faults in the presence of solar PV generation using discrete wavelet

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
13
0
2

Year Published

2019
2019
2022
2022

Publication Types

Select...
4
3

Relationship

2
5

Authors

Journals

citations
Cited by 12 publications
(15 citation statements)
references
References 12 publications
0
13
0
2
Order By: Relevance
“…The performance of the algorithm was compared with algorithms used for the detection of faults in the presence of solar energy using DWT [11], WPT [10] and Stockwell transform [12]. It is observed that the performance of the algorithms based on the DWT and WPT was affected by the presence of noise.…”
Section: Performance Comparisonmentioning
confidence: 99%
See 2 more Smart Citations
“…The performance of the algorithm was compared with algorithms used for the detection of faults in the presence of solar energy using DWT [11], WPT [10] and Stockwell transform [12]. It is observed that the performance of the algorithms based on the DWT and WPT was affected by the presence of noise.…”
Section: Performance Comparisonmentioning
confidence: 99%
“…However, the proposed algorithm is effective to detect faults in the presence of SE within a quarter-cycle time period. Hence, it is established that the performance of the algorithm proposed is superior to DWT [11], WPT [10] and Stockwell transform [12]-based methods.…”
Section: Performance Comparisonmentioning
confidence: 99%
See 1 more Smart Citation
“…The performance of the protection approach discussed in this article is compared with the DWT based approach reported in Reference [9][10][11]. The DWT based approach used a fault index (FI) computed using the detailed coefficients obtained by the decomposition of current signals and applied for the protection of the transmission line [9], power system with wind generation [10] and power system network with solar PV generation [11]. Performance of this DWT-based method is affected by noise, the fault recognition time is high, and the range of variation of peak values of FI is large, which may generate false tripping commands during the operational events.…”
Section: Performance Of Protection Scheme: a Comparative Studymentioning
confidence: 99%
“…Application of this method for recognition of faults in the presence of wind generation by the use of FI computed using the detail coefficient at first decomposition level of current signals using DWT is reported in Reference [10]. Application of the approach for recognition of faults in the presence of solar energy is reported in Reference [11]. Performance of this DWT-based method is affected by noise, fault recognition time is high, and range of variation of peak values of FI is large, which may generate false tripping commands during the operational events.…”
Section: Introductionmentioning
confidence: 99%