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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Phasor estimation in power transmission lines by using the Kalman filter

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Autor(es):
Pereira, Ronaldo F. R. [1] ; Albuquerque, Felipe P. [2] ; Liboni, Luisa H. B. [3] ; Costa, Eduardo C. M. [2] ; de Oliveira, Mauricio C. [4]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Univ Fed Acre, Rio Branco, AC - Brazil
[2] Univ Sao Paulo, Sao Paulo, SP - Brazil
[3] Fed Inst Educ Sci & Technol Sao Paulo, Araraquara, SP - Brazil
[4] Univ Calif San Diego, San Diego, CA 92103 - USA
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: ELECTRICAL ENGINEERING; JUL 2021.
Citações Web of Science: 0
Resumo

This paper develops a Kalman filter-based method to estimate the magnitude and phases of currents and voltages of a single-phase transmission line. Unlike common-place practices, in which phasors are estimated by using Fourier-based or least squares methods, the standard Kalman filter algorithm is used. We represent the transmission line by using a steady-state model in which the phasors of voltages and currents are considered to be in the complex d - q domain. We then show the estimation performance of the filter-based estimator by means of a numerical simulation of a medium-length transmission line and compare the proposed method to standard methods for phasor estimation. The results presented show that the filter is highly efficient and encourages future research on the estimation of the electric parameters of transmission lines by using the proposed method. We conclude the paper by reasoning that the proposed estimation method could be used in phasor measurement devices for improved monitoring and control capabilities of electrical systems. (AU)

Processo FAPESP: 19/05381-9 - Estimação dos parâmetros elétricos de linhas de transmissão por meio de medições no domínio do tempo e métodos de identificação de sistemas
Beneficiário:Felipe Proença de Albuquerque
Modalidade de apoio: Bolsas no Brasil - Mestrado