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Prediction of the Transient Stability Boundary Using the Lasso
- Source :
- IEEE Transactions on Power Systems. 28:281-288
- Publication Year :
- 2013
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2013.
-
Abstract
- 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.
- Subjects :
- Engineering
business.industry
Stability (learning theory)
Energy Engineering and Power Technology
Boundary (topology)
Feature selection
Power (physics)
Electric power system
Lasso (statistics)
Control theory
Power engineering
Transient (oscillation)
Electrical and Electronic Engineering
business
Subjects
Details
- ISSN :
- 15580679 and 08858950
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Power Systems
- Accession number :
- edsair.doi...........0cd986d2ff7ff377d3f6dda4b93f230e