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dc.contributor.authorDubey R.en_US
dc.contributor.authorSamantaray S.R.en_US
dc.contributor.authorBabu B.C.en_US
dc.contributor.authorKumar S.N.en_US
dc.date.accessioned2020-01-13T05:19:35Z-
dc.date.available2020-01-13T05:19:35Z-
dc.date.issued2011-
dc.identifier.citation9en_US
dc.identifier.urihttp://dx.doi.org/10.1109/ICPES.2011.6156631-
dc.identifier.urihttp://10.10.32.48:8080/jspui/handle/2008/89-
dc.description.abstractThe 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.isoenen_US
dc.subjectAsymmetrical faultsen_US
dc.subjectStable Power swingen_US
dc.subjectSymmetrical faultsen_US
dc.subjectUnstable Power swingen_US
dc.subjectW-transformen_US
dc.subjectWavelet Energyen_US
dc.titleA novel out-of-step detection algorithm using angle of power signalen_US
dc.typeConference Paperen_US
Appears in Collections:Research Publications

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