Abstract:
Contingency analysis plays a key role in evaluating the
performance of a system under stressed conditions. This paper
proposes Trajectory Violation Integral (TVI) index as a measure
to quantify the effect of contingency. Contingency clustering
enables partitioning of the system into coherent and independent
Voltage Control Areas. The data that is worked on during contingency clustering is of high dimensional nature and studies have
shown that the algorithms that work on lower dimensional data
may get impaired while handling higher dimensional data due to
various reasons, one of them being the curse of dimensionality.
This work emphasizes the problems associated while dealing with
higher dimensional data and proposes a meticulous strategy to
undermine the effects of higher dimensionality in the premises
of contingency clustering for the formation of Dynamic Voltage
Control Areas.
