A meticulous approach towards contingency clustering in power system

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.