The Effect of Phasor Measurement Units on the Accuracy of the Network Estimated Variables

TL;DR

This paper investigates how integrating Phasor Measurement Units (PMUs) with conventional measurements affects the accuracy of power system state estimation, using linear models and test cases on IEEE systems.

Contribution

It explores the integration of PMU data into power system state estimation and compares linear formulations with conventional methods.

Findings

PMUs improve the accuracy of estimated variables.

Adding more PMUs enhances estimation precision.

Linear models with PMUs are effective for state estimation.

Abstract

The most commonly used weighted least square state estimator in power industry is nonlinear and formulated by using conventional measurements such as line flow and injection measurements. PMUs (Phasor Measurement Units) are gradually adding them to improve the state estimation process. In this paper the way of corporation the PMU data to the conventional measurements and a linear formulation of the state estimation using only PMU measured data are investigated. Six cases are tested while gradually increasing the number of PMUs which are added to the measurement set and the effect of PMUs on the accuracy of variables are illustrated and compared by applying them on IEEE 14, 30 test systems.