Name
Abstract | ||
|---|---|---|
Traveling surges are commonly adopted in protection devices of high-voltage direct current (HVDC) transmission systems. Lightning strikes also can produce large-amplitude traveling surges which lead to the malfunction of relays. To ensure the reliable operation of protection devices, recognition of traveling surges must be considered. Wavelet entropy, which can reveal time-frequency distribution features, is a potential tool for traveling surge recognition. In this paper, the effectiveness of wavelet entropy in characterizing traveling surges is demonstrated by comparing its representations of different kinds of surges and discussing its stability with the effects of propagation distance and fault resistance. A wavelet entropy-based recognition method is proposed and tested by simulated traveling surges. The results show wavelet entropy can discriminate fault traveling surges with a good recognition rate. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3390/e19050184 | ENTROPY |
Keywords | Field | DocType |
wavelet entropy,traveling surges,HVDC,fault recognition | Lightning strike,Mathematical optimization,Control theory,Fault resistance,Transmission system,Artificial intelligence,Surge,Fault recognition,Wavelet entropy,Mathematics | Journal |
Volume | Issue | ISSN |
19 | 5 | 1099-4300 |
Citations | PageRank | References |
1 | 0.37 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guomin Luo | 1 | 1 | 2.06 |
| Qizhi Lin | 2 | 1 | 0.37 |
| lin zhou | 3 | 4 | 6.49 |
| Jinghan He | 4 | 14 | 7.47 |