Real-time power system dynamic security assessment based on advanced feature selection for decision tree classifiers

• Main Authors: Al-Gubri, Qusay, Mohd Ariff, Mohd Aifaa
• 格式: Article
• 语言: English
• 出版: The Scientific and Technological Research Council of Turkey 2017
• 主题: TK1001-1841 Production of electric energy or power. Powerplants. Central stations
• 在线阅读: http://eprints.uthm.edu.my/3958/1/AJ%202017%20%28546%29.pdf; http://eprints.uthm.edu.my/3958/; https://dx.doi.org/10.3906/elk-1705-268

This paper proposed a novel algorithm based on advanced feature selection technique for decision tree (DT) classifier to assess the dynamic security in power system. The proposed methodology utilized symmetrical uncertainty (SU) to reduce the data redundancy in a dataset for DT classifier based dyna...