Data Mining Based Partitioning of Dynamic Voltage Control Areas and Contingency Clustering

Partitioning of dynamic voltage control areas (DVCAs) and contingency clustering have attracted increasing attentions in power system planning. In this paper, we propose a data mining based method to recognize behavior patterns of buses and contingencies from offline simulation, so as to identify DV...

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Veröffentlicht in:	IEEE Power & Energy Society General Meeting S. 1 - 5
Hauptverfasser:	Wu, Liang, Guan, Lin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2018
Schlagworte:	Clustering algorithms contingency clustering Data mining dynamic voltage control area Indexes Power system dynamics Power system planning Power system stability Reactive power similarity evaluation Voltage control
ISSN:	1944-9933
Online-Zugang:	Volltext
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