Spearman Correlation Coefficient Assisted Novel Methodology For Line Outage Identification Using PMU data

Fast and accurate transmission line outage identification (TLOI) is very much needed to maintain the reliability and security of the power system. A single line outage will result into the outage of another line and cascading failure may propagate into complete or partial system blackout. In this context, a novel mathematical model is developed in this paper using synchronized measurements of the phasor measurement unit (PMU) for transmission line outage identification (TLOI). A new logical term, namely cost function value (CFV) is defined using the concept of Spearman correlation coefficient (SCC). The TLOI problem is solved through the proposed CFV by comparing the simulated line powers (SLPs) for several LOCs with measured line powers (MLPs) obtained from PMUs. Furthermore, the uncertainty of measurement is also included in the developed mathematical model via random Gaussian noise vector. The developed model is applied on benchmark IEEE 6,14,57 bus networks in the MATLAB environment. Comparative evaluation of the proposed methodology with some existing methods is also carried out to corroborate the effectiveness and applicability of developed model.