NDLI: Rotor angle instability prediction using post-disturbance voltage trajectories

Content Provider	IEEE Xplore Digital Library
Author	Rajapakse, A. Gomez, F. Nanayakkara, K. Crossley, P. Terzija, V.
Copyright Year	2010
Description	Author affiliation: University of Manitoba, Canada (Rajapakse, A.; Gomez, F.; Nanayakkara, K.) \|\| University of Manchester, UK (Crossley, P.; Terzija, V.)
Abstract	A new method for predicting the rotor angle stability status of a power system immediately after a large disturbance is presented. The proposed two stage method involves estimation of the similarity of post-fault voltage trajectories of the generator buses after the disturbance to some pre-identified templates and then prediction of the stability status using a classifier which takes the similarity values calculated at the different generator buses as inputs. The typical bus voltage variation patterns after a disturbance for both stable and unstable situations are identified from a database of simulations using fuzzy C-means clustering algorithm. The same database is used to train a support vector machine classifier which takes proximity of the actual voltage variations to the identified templates as features. Development of the system and its performance were demonstrated using a case study carried out on the IEEE-39 bus system. Investigations showed that the proposed method can accurately predict the stability status six cycles after the clearance of a fault. Further, the robustness of the proposed method was examined by analyzing its performance in predicting the instability when the network configuration is altered.
Starting Page	1
Ending Page	1
File Size	89239
Page Count	1
File Format	PDF
ISBN	9781424465491
ISSN	19449925
e-ISBN	9781424465514
e-ISBN	9781424483570
DOI	10.1109/PES.2010.5589386
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power system stability Classification algorithms Stability analysis Trajectory Databases Rotors Generators
Content Type	Text
Resource Type	Article

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