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

Author(s)

de Albuquerque, Felipe Proenca ; Nascimento, Rafael ; Prete Jr, Carlos A. ; da Costa, Eduardo Coelho Marques

• Document type: Journal article
• Source: ENERGIES; v. 17, n. 14, p. 21-pg., 2024-07-01.

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. (AU)

• FAPESP's process: 21/01325-7 - Analysis of the voltage stability of electric power systems considering the dynamic parameters of the grid
• Grantee: Felipe Proença de Albuquerque
• Support Opportunities: Scholarships in Brazil - Doctorate
• FAPESP's process: 24/00261-3 - Real-Time Monitoring of Power Transmission Systems by Parameters Estimation and Voltage Stability Analysis
• Grantee: Eduardo Coelho Marques da Costa
• Support Opportunities: Regular Research Grants
• FAPESP's process: 19/21858-0 - Bayesian models for estimating the attack rate of epidemics
• Grantee: Carlos Augusto Prete Junior
• Support Opportunities: Scholarships in Brazil - Doctorate