PMU Based State Estimation by Integrating Correlation

Abstract

In this paper, a novel approach for hybrid power system static state estimation (SE) in the presence of phasor measurement units (PMUs) is presented. The proposed PMU-based SE takes into account existing time correlation in the PMU measurements. The PMU time series of measurements are modeled by short memory autoregressive (AR) models over short time periods. The correlation existing between PMU measurements at different buses is included using vector or multichannel AR models. The effectiveness and improved performance of the proposed PMU-based SE is demonstrated through a comparison analysis with practical hybrid SE methods. A theoretical analysis highlights the improvement over long execution periods of SE and high PMU sampling rates. Finally, a practical comparison is carried out on results from simulated Monte Carlo runs on the IEEE 14- and 118-bus test beds.