Doctoral Thesis
DOI
https://doi.org/10.11606/T.3.2024.tde-16042024-101841
Document
Author
Full name
Francisco Rodrigues Lemes
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2024
Supervisor
Committee
Costa, Eduardo Coelho Marques da (President)
Calil, Wilerson Venceslau
Kurokawa, Sérgio
Melo, André de Souza
Nascimento, Vitor Heloiz
Title in Portuguese
Estimação dos parâmetros de linhas aéreas de transmissão de energia elétrica por meio de medições temporais.
Keywords in Portuguese
Bi-Step
Estimação de parâmetros
Linhas de transmissão de energia elétrica
MVM
Abstract in Portuguese
Title in English
Estimation of the parameters of transmission lines for electric power through temporal measurements.
Keywords in English
Bi-Step
Estimation
MVMO
Parameters
Trajectory sensitivity
Transmissions line
Abstract in English
The correct estimation of transmission line parameters is an essential action for the reliable operation of the electrical power system because such parameters are directly related to the calculation of load flow, the parameterization of protection equipment, the forecast of load demand, and the dispatch of generators, for example. This research presents estimation results for transmission line parameters, applying two new algorithms to solve the problem: i) optimization by mean and variance mapping (MVMO) and ii) trajectory sensitivity (ST). A third algorithm was also proposed, which is a combination of MVMO and ST, performing the estimation in two steps, called Bi-Step. The proposal is to make use of the best capacity of each algorithm, obtaining an algorithm that, overall, has a more robust performance than both alone. The line model used corresponds to the pi-equivalent model, in which measurement noise was inserted to make it more credible with a real system. The tests presented results with a margin of error for the MVMO ranging from 1% to 2% for both sequences. ST, on the other hand, presented errors of less than 1%; however, it was unable to estimate the zero sequence. Finally, the combined Bi-Step algorithm obtained errors in the range of 0.5% to 3.5% and was able to estimate the positive and zero sequences.

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Publishing Date
2024-04-17

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