Resumen:
This master’s thesis studies the statistical properties of voltage, current, and complex
power measurements provided by phasor measurement units (PMUs). We use PMU measurements
installed in an extra-high voltage transmission system, specifically the network
operated by Companhia de Transmissão de Energia Elétrica Paulista (CTEEP), a
transmission system operator in Brazil. Further, we also conduct an analysis using PMU
measurements installed in low-voltage distribution systems, notably PMUs installed on
University campuses across Brazil funded by the MedFasee project. Our analysis relies
on the methodology recommended by the technical literature in signal processing. We
pay particular attention to the fact that the standard deviation of errors associated with
measurements expressed in rectangular coordinates decisively impacts the performance of
bad-data processing algorithms. Hence, we evaluate the performance of bad-data processing
algorithms formulated in the complex plane. We perform this evaluation on two state
estimators based on the weighted least squares (WLS) method. The first state estimator
follows the classical formulation and only uses measurements from the supervisory control
and data acquisition (SCADA) system. The second state estimator relies on a hybrid
formulation, which allows us to use SCADA and PMU measurements.
