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A new algorithm based on logarithm decrement to estimate the damping ratio for power system oscillation

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dc.contributor.authorPrasertwong K.
dc.contributor.authorMithulananthan N.
dc.date.accessioned2021-04-05T03:21:58Z
dc.date.available2021-04-05T03:21:58Z
dc.date.issued2017
dc.date.issuedBE2560
dc.description.abstractThis paper proposes an algorithm for estimate the damping ratio of power system oscillation in real time. In this paper, we utilize the Four-Max-Min-Points (FMMP) method to estimate the instantaneous damping ratio of the signals. The proposed method is simple and fast. It can be used for wide-area monitoring and control of power system oscillation from online PMU measurement. The algorithms are tested using simulated data from the synthetic signal which known damping ratio and frequency of oscillations. The results are shown that the estimated frequency damping ratio obtained using the proposed technique is quite interesting. © 2017 IEEE.
dc.format.mimetypeapplication/pdf
dc.identifier.citationECTI-CON 2017 - 2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology. (2017), p.517-520
dc.identifier.doi10.1109/ECTICon.2017.8096288
dc.identifier.other2-s2.0-85039900809
dc.identifier.urihttps://hdl.handle.net/20.500.14740/4012
dc.rights.holderScopus
dc.subject.otherElectric power system measurement
dc.subject.otherPhasor measurement units
dc.subject.otherDamping ratio
dc.subject.otherFrequency of oscillation
dc.subject.otherInstantaneous damping
dc.subject.otherLogarithm decremental
dc.subject.otherPMU measurements
dc.subject.otherPower system oscillations
dc.subject.otherSynthetic signals
dc.subject.otherWide-area monitoring and controls
dc.subject.otherDamping
dc.titleA new algorithm based on logarithm decrement to estimate the damping ratio for power system oscillation
dc.typeConference Paper
dspace.entity.typePublication
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85039900809&doi=10.1109%2fECTICon.2017.8096288&partnerID=40&md5=3d24d54859fb51b94b76aa6baddabbc0

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