The characteristic ellipsoid (CELL) method to monitor dynamic behaviors of a power system is proposed. Multi-dimensional minimum-volume-enclosing characteristic ellipsoids are built using synchronized phasor measurements. System dynamic behaviors are identiﬁed by tracking the change rate of the CELL’s characteristic indices. Decision tree techniques are used to link the CELL’s characteristic indices and the system’s dynamic behaviors and to determine types, locations and related information about the dynamic behaviors. The knowledge base of representative transient events is created by ofﬂine simulations based on the full Western Electric Coordinating Council (WECC) model. Two case studies demonstrate that the CELL method combined with the decision trees can detect transient events and their features with good accuracy.
|Autori interni:||DE TUGLIE, Enrico Elio|
|Titolo:||The Characteristic Ellipsoid Methodology and its Application in Power Systems|
|Rivista:||IEEE TRANSACTIONS ON POWER SYSTEMS|
|Data di pubblicazione:||2012|
|Digital Object Identifier (DOI):||10.1109/TPWRS.2012.2195232|
|Appare nelle tipologie:||1.1 Articolo in rivista|