DocumentCode :
665397
Title :
Transient stability status predictor based on relevance vector machine
Author :
Sharma, Chhavi ; Tyagi, Barjeev
Author_Institution :
Electr. Eng. Dept., Indian Inst. of Technol., Roorkee, Roorkee, India
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, Relevance Vector Machine(RVM) based transient stability predictor for integrated power system has been proposed. Generator bus voltage measurements provided by phasor measurement units are used to train the proposed classifier. Various operating conditions are considered by simulating different types of faults like three phase to ground and line loss, on the given system. Fault clearing time is also varied from 5 cycles to 11 cycles, and loading conditions are varied from 5% to 10 % in some cases. The results obtained by RVM predictor have been compared with the results of Support Vector Machine (SVM) predictor. Proposed scheme is successfully tested on New England 39 bus system.
Keywords :
fault diagnosis; phasor measurement; power engineering computing; power system transient stability; support vector machines; voltage measurement; New England 39 bus system; RVM predictor; SVM predictor; fault clearing time; generator bus voltage measurements; integrated power system; line loss; operating conditions; phasor measurement units; relevance vector machine; support vector machine predictor; transient stability status predictor; Power system stability; Stability criteria; Support vector machines; Training; Transient analysis; Fault Analysis; Phasor Measurement Unit; Relevance Vector Machine; Transient Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2013 IEEE
Conference_Location :
Bangalore
Print_ISBN :
978-1-4799-1346-6
Type :
conf
DOI :
10.1109/ISGT-Asia.2013.6698723
Filename :
6698723
Link To Document :
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