Phasor Measurement Unit-Driven Estimation of Transmission Line Parameters Using Variable Noise Model

Felipe Proença de Albuquerque (), Rafael Nascimento, Carlos A. Prete and Eduardo Coelho Marques da Costa
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Felipe Proença de Albuquerque: Escola Politécnica, Universidade de São Paulo, São Paulo 05508-220, Brazil
Rafael Nascimento: Escola Politécnica, Universidade de São Paulo, São Paulo 05508-220, Brazil
Carlos A. Prete: Escola Politécnica, Universidade de São Paulo, São Paulo 05508-220, Brazil
Eduardo Coelho Marques da Costa: Escola Politécnica, Universidade de São Paulo, São Paulo 05508-220, Brazil

Energies, 2024, vol. 17, issue 14, 1-21

Abstract: Accurate parameters are crucial in modern energy systems to ensure the reliable operation of all components. Given the substantial volume of data in monitored systems, high-performance methods are necessary. This paper proposes a new Bayesian multi-output regressor for estimating the parameters of a three-phase transmission line. The presented approach achieves acceptable accuracy in parameter estimation using only one end of the line. The Bayesian regressor is developed using information derived from the data themselves, eliminating the need to explicitly model the system. This capability allows the method to estimate parameters while accommodating different noise models, even in the presence of systematic errors and non-Gaussian random noise. The methodology was validated on various systems, including a two-bus system, IEEE 14-bus, IEEE 39-bus, and IEEE 118-bus, under diverse conditions such as varying sample sizes, loads, and noise levels. These tests demonstrate the robustness of the proposed approach.

Keywords: three-phase transmission lines; Bayesian regressor; phasor measurement units; non-Gaussian noise; parameter estimation (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: 2024
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