Transient stability assessment via decision trees and multivariate adaptive regression splines
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- 作者：Matin Rahmatiana ; Yu Christine Chena ; chen@ece.ubc.ca" class="auth_mail" title="E-mail the corresponding author ; Atefeh Palizbana ; Ali Moshrefb ; William G. Dunforda
- 关键词：Classification and regression trees ; Decision trees ; Multivariate adaptive regression splines ; Phasor measurement units ; Real-time transient stability assessment ; Synchrophasors
- 刊名：Electric Power Systems Research
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：142
- 期：Complete
- 页码：320-328
- 全文大小：1097 K
文摘
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A reliable method is proposed for real-time transient stability assessment.
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CART and MARS are used as the classification and regression methods, respectively.
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The method is tested on the model of BC Hydro power system with limited number of PMUs.
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The sensitivity of the models to data fed earlier or later sampling times is uncovered.
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The sensitivity of the models to noisy data is shown and discussed.