| Publication Type |
pre-print |
| School or College |
College of Engineering |
| Department |
Electrical & Computer Engineering |
| Creator |
Khan, Faisal Habib |
| Other Author |
Alam, Mohammed Khorshed; Johnson, Jay; Flicker, Jack |
| Title |
PV ground-fault detection using spread spectrum time domain reflectometry (SSTDR) |
| Date |
2013-01-01 |
| Description |
A PV ground-fault detection technique using spread spectrum time domain reflectometry (SSTDR) method has been introduced in this paper. SSTDR is a reflectometry method that has been commercially used for detecting aircraft wire faults. Unlike other fault detection schemes for a PV system, ground fault detection using SSTDR does not depend on the amplitude of fault-current and highly immune to noise signals. Therefore, SSTDR can be used in the absence of the solar irradiation as well. The proposed PV ground fault detection technique has been tested in a real-world PV system and it has been observed that PV ground fault can be detected confidently by comparing autocorrelation values generated using SSTDR. The difference in the autocorrelation peaks before and after a ground-fault in the PV system are significantly higher than the threshold set for ground-fault detection. |
| Type |
Text |
| Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| First Page |
1015 |
| Last Page |
1020 |
| Language |
eng |
| Bibliographic Citation |
Alam, M. K., Khan, F., Johnson, J., & Flicker, J. (2013). PV ground-fault detection using spread spectrum time domain reflectometry (SSTDR). IEEE Energy Conversion Congress and Exposition, ECCE 2013, art. no. 6646814, 1015-20. |
| Rights Management |
(c) 2013 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Format Medium |
application/pdf |
| Format Extent |
1,846,729 bytes |
| Identifier |
uspace,18336 |
| ARK |
ark:/87278/s6ng80jf |
| Setname |
ir_uspace |
| ID |
711280 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6ng80jf |
