Efficiency of Post-Processing In Pmu Based State Estimation of Renewable Energy Microgrids

Power System State Estimation (SE) is a process for determining the state of all the buses in a power system (voltage magnitude and angle) based on measurements taken at a select few buses. Traditionally, the only information that measurement devices could provide was the amount being measured's magnitude. The Phasor Measurement Unit (PMU), a useful measurement tool, is already in use. It can measure the current phasors of the directly linked lines as well as the voltage phasors (both angle and magnitude) of the bus at which it is located. One cannot solely utilise PMU readings to determine the state of a power system because PMUs are very expensive. In order to determine the condition of a power system, phasor measurements are employed in addition to conventional measurements. In this study report, use of PMU measurements to estimate the state of a renewable energy microgrid (REM) has been explained and the proposed method has been verified on a 4 bus and 8 bus REM. The method makes use of PMU voltage and current data after post-processing, as well as a separate linear state estimator model that makes use of the state estimate from Weighted Least Square (WLS). Using the WLS state estimation approach from conventional data, the model first estimates the state in polar coordinates. This state is then combined with PMU measurements, which are both provided in rectangular coordinates, to predict the system's final state