Abstract
Adaboost algorithm was used as a new machine learning approach in power system security assessment by classifying pre-fault data of power system network. Requirements
of implementing Adaboost on a security assessment problem are discussed and a simple transient stability assessment was solved. ROC curves are introduced as a criterion for accuracy of classification method. Analysis was made on different types of power system data to understand effect of each parameter on a security assessment.
of implementing Adaboost on a security assessment problem are discussed and a simple transient stability assessment was solved. ROC curves are introduced as a criterion for accuracy of classification method. Analysis was made on different types of power system data to understand effect of each parameter on a security assessment.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the North American Power Symposium (NAPS 2009) |
| Publication status | Published - 2009 |
| Externally published | Yes |