Enhanced-Online-Random-Forest Model for Static Voltage Stability Assessment Using Wide Area Measurements

Application of data mining based methods in online voltage stability assessment has attracted vast attentions in recent years. To account for significant system changes, most of the data mining based methods reconstruct an entire model based on the updated training database. Instead of entirely rebu...

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Veröffentlicht in:	IEEE transactions on power systems 2018-11, Vol.33 (6), p.6696-6704
Hauptverfasser:	Su, Heng-Yi, Liu, Tzu-Yi
Format:	Artikel
Sprache:	eng
Schlagworte:	Data mining Decision trees Distance learning Electric potential Long-term voltage stability online learning online random forest phasor measurement unit (PMU) Phasor measurement units Power system stability Stability analysis Stability criteria static voltage stability voltage collapse Voltage measurement Voltage stability Wide area measurements wide-area measurement system (WAMS)
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