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DC Field | Value | Language |
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dc.contributor.author | Dubey R. | en_US |
dc.contributor.author | Samantaray S.R. | en_US |
dc.contributor.author | Babu B.C. | en_US |
dc.contributor.author | Kumar S.N. | en_US |
dc.date.accessioned | 2020-01-13T05:19:35Z | - |
dc.date.available | 2020-01-13T05:19:35Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | 9 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1109/ICPES.2011.6156631 | - |
dc.identifier.uri | http://10.10.32.48:8080/jspui/handle/2008/89 | - |
dc.description.abstract | The electric power system maintains a dynamic and delicate balance between generation and load in normal operation condition. A disturbance, such as a sudden change of load, a power system fault, or a trip of a large generation unit, may break the balance, cause the oscillations among the generator rotor angles and force the generators to adjust to a new operating condition. The adjustment will not happen instantaneously due to the inertia of the generator prime movers. The oscillation will cause either stable and/or unstable power swings. During a power swing, the impedance trajectory seen by a distance relay may enter the fault detection zones and cause unwanted relay operation. Distinguishing stable and unstable power swing is one of the challenging tasks. This paper presents a wavelet based energy function for distinguishing stable and unstable power swing using Wavelet based Power Angle criteria. � 2011 IEEE. | en_US |
dc.language.iso | en | en_US |
dc.subject | Asymmetrical faults | en_US |
dc.subject | Stable Power swing | en_US |
dc.subject | Symmetrical faults | en_US |
dc.subject | Unstable Power swing | en_US |
dc.subject | W-transform | en_US |
dc.subject | Wavelet Energy | en_US |
dc.title | A novel out-of-step detection algorithm using angle of power signal | en_US |
dc.type | Conference Paper | en_US |
Appears in Collections: | Research Publications |
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