Optimal Placement of Phasor Measurement Unit based on Power System Loss Index

This paper aims to present the simplest scheme for dynamic vulnerability assessment(DVA) based on Power System Loss(PSL) index. Even though a lot of methods are available for vulnerability assessment, DVA based on PSL index is a very simple to explore the region of vulnerability. The probabilistic nature of network dynamics is obtained by Monte Carlo Simulation to evaluate the system performance iteratively for probable input parameter variations such as load variation, generation variation and list of credible contingencies for finding the vulnerability index of the system. Newton Raphson load flow is performed for each contingency and the losses in power system at various parts of the networks are observed. The vulnerability index is calculated based on PSL. Based on the index, the vulnerable regions in the network are identified and clustered with the help of data clustering algorithm. Phasor Measurement Units (PMU) have to be placed in the most vulnerable regions to prevent the system from blackouts and to implement corrective actions. This proposed approach is tested on IEEE-5, IEEE-14, and Indian utility 62 Bus test systems. Results show that PSL index is effective in identifying the vulnerable regions for optimal PMU placement. The findings of the PMU location are compared with earlier works.