An asymptotic and algebraic estimation method of harmonics
Por:
Beltran-Carbajal, F., Tapia-Olvera, R., Valderrabano-Gonzalez, A., Yanez-Badillo, H.
Publicada:
1 may 2022
Resumen:
A new on-line and time-domain parameter estimation approach of harmonics
in electric power system signals is introduced. The developed
parametrical identification perspective is based on asymptotic and
algebraic estimation techniques, and vibrating signal modeling.
Specified harmonics and DC offset component of some measured distorted
oscillating signal are reconstructed asymptotically. In this fashion,
closed-form explicit formulae to compute into a small window of time,
algebraically, on-line and in time-domain, the parameters of amplitude,
frequency and phase of harmonics are then derived. Analytical, numerical
and experimental results of six and twelve pulses converter reveal the
effectiveness and efficiency of the proposed selective estimation
approach for harmonics and corresponding parameters of measured
oscillating electric signals into an operating frequency bandwidth.
Among others, synchronization of power converters or switches to grid
without the use of filtering can be achieved with this strategy.
Filiaciones:
Beltran-Carbajal, F.:
Universidad Autónoma Metropolitana, Unidad Azcapotzalco, Departamento de Energía, Mexico City, Mexico
(Corresponding Author), Univ Autonoma Metropolitana, Dept Energia, Unidad Azcapotzalco, Mexico City, DF, Mexico
Univ Autonoma Metropolitana, Dept Energia, Unidad Azcapotzalco, Mexico City, DF, Mexico
Tapia-Olvera, R.:
Universidad Nacional Autónoma de México, Departamento de Energía Eléctrica, Mexico City, Mexico
Univ Nacl Autonoma Mexico, Dept Energia Elect, Mexico City, DF, Mexico
Valderrabano-Gonzalez, A.:
Universidad Panamericana, Facultad de Ingeniería, Jalisco, Zapopan, Mexico
Univ Panamer, Fac Ingn, Zapopan, Jalisco, Mexico
Yanez-Badillo, H.:
Departamento de Investigación, Tecnológico de Estudios Superiores de Tianguistenco, Mexico State, Tianguistenco, Mexico
Tecnol Estudios Super Tianguistenco, Dept Invest, Tianguistenco, Mexico State, Mexico
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