A Comparative Study Between Synchrophasor-Measurement-Based Linear and Nonlinear State Estimation in Power Systems

Ali Aljazaeri (), Petr Toman and Obed Muhayimana
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Ali Aljazaeri: Faculty of Electrical Engineering and Communication, Brno University of Technology, 60200 Brno, Czech Republic
Petr Toman: Faculty of Electrical Engineering and Communication, Brno University of Technology, 60200 Brno, Czech Republic
Obed Muhayimana: Faculty of Electrical Engineering and Communication, Brno University of Technology, 60200 Brno, Czech Republic

Energies, 2025, vol. 18, issue 4, 1-24

Abstract: The evolution of phasor measurement units (PMUs) marked a significant development in the field of electrical engineering. The integration of PMU-based linear state estimators or the augmentation of SCADA measurements with PMU measurements has emerged as a promising solution to address the limitations of conventional state estimation. The utilization of PMU measurements has been demonstrated to effectively address measurement errors, leading to the precise determination of the system’s state within a single iteration. This article provides a comprehensive discussion of both linear and nonlinear state estimation computational processes. A comparative analysis is conducted to assess their performance. PMU-based state estimator models are proposed based on different PMU locations and are further examined under abnormal conditions. The results are compared with the simulated results from a Simulink PSCAD model of the IEEE 14-bus system to ensure validation. The test results demonstrated that the proposed models outperformed the conventional model in terms of robustness and accuracy. The estimated and simulated states matched during both normal and abnormal conditions, demonstrating the model’s capability to track sudden changes in voltage profiles. This article promotes further investigations to develop new control and protection functions using this model.

Keywords: state estimation; WLS; power system measurements; PMU; power system; online monitoring (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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