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Prediction of the Transient Stability Boundary Using the Lasso

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3 Author(s)
Jiaqing Lv ; Electr. & Comput. Eng. Dept., Univ. of Manitoba, Winnipeg, MB, Canada ; Pawlak, M. ; Annakkage, U.D.

This paper utilizes a class of modern machine learning methods for estimating a transient stability boundary that is viewed as a function of power system variables. The simultaneous variable selection and estimation approach is employed yielding a substantially reduced complexity transient stability boundary model. The model is easily interpretable and yet possesses a stronger prediction power than techniques known in the power engineering literature so far. The accuracy of our methods is demonstrated using a 470-bus system.

Published in:

Power Systems, IEEE Transactions on  (Volume:28 ,  Issue: 1 )