Online Estimation of Intrinsic Parameters of Encapsulated Three-Phase Harmonic Filter Capacitors for IoT Applications

A technique for conducting online estimation of the intrinsic parameters of encapsulated three-phase harmonic filter capacitors is presented. The concept is based on firstly sampling the line voltage and current associated with the encapsulated capacitor, then formulating a capacitor current estimat...

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Autores principales: Wai-Kwan Lee, Henry Shu-Hung Chung, Wing-Hong Ricky Lau
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/e2c54aedbf0144de8cc8886236cd3ada
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spelling oai:doaj.org-article:e2c54aedbf0144de8cc8886236cd3ada2021-11-18T00:07:05ZOnline Estimation of Intrinsic Parameters of Encapsulated Three-Phase Harmonic Filter Capacitors for IoT Applications2169-353610.1109/ACCESS.2021.3125054https://doaj.org/article/e2c54aedbf0144de8cc8886236cd3ada2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9599682/https://doaj.org/toc/2169-3536A technique for conducting online estimation of the intrinsic parameters of encapsulated three-phase harmonic filter capacitors is presented. The concept is based on firstly sampling the line voltage and current associated with the encapsulated capacitor, then formulating a capacitor current estimator to estimate the line currents with the sampled line voltages, and finally using the errors of the estimated and actual line currents to estimate the intrinsic parameters with a modified particle swarm optimization algorithm. A decoupled technique is formulated to estimate the unmeasurable circulating current in the encapsulated capacitor with the measured line voltages. A prototype for estimating the intrinsic parameters of an encapsulated three-phase capacitor in the harmonic filter for an adjustable speed drive for a 1.1kW motor-generator set has been built and evaluated. To facilitate the application of the proposed technology for Internet-of-Things (IoT) devices, the impact of different durations, sampling frequencies, and data lengths on the estimation accuracy is evaluated. The results are favorably compared with the theoretical predictions and the measurement results obtained on a calibrated network analyzer. In addition, the performance of the proposed technique is favorably compared with the Trust-Region-Reflective Least Squares Method.Wai-Kwan LeeHenry Shu-Hung ChungWing-Hong Ricky LauIEEEarticlePower electronicsencapsulated power capacitorscapacitancecapacitance measurementInternet of Things (IoT)least squares methodsElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 150939-150950 (2021)
institution DOAJ
collection DOAJ
language EN
topic Power electronics
encapsulated power capacitors
capacitance
capacitance measurement
Internet of Things (IoT)
least squares methods
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Power electronics
encapsulated power capacitors
capacitance
capacitance measurement
Internet of Things (IoT)
least squares methods
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Wai-Kwan Lee
Henry Shu-Hung Chung
Wing-Hong Ricky Lau
Online Estimation of Intrinsic Parameters of Encapsulated Three-Phase Harmonic Filter Capacitors for IoT Applications
description A technique for conducting online estimation of the intrinsic parameters of encapsulated three-phase harmonic filter capacitors is presented. The concept is based on firstly sampling the line voltage and current associated with the encapsulated capacitor, then formulating a capacitor current estimator to estimate the line currents with the sampled line voltages, and finally using the errors of the estimated and actual line currents to estimate the intrinsic parameters with a modified particle swarm optimization algorithm. A decoupled technique is formulated to estimate the unmeasurable circulating current in the encapsulated capacitor with the measured line voltages. A prototype for estimating the intrinsic parameters of an encapsulated three-phase capacitor in the harmonic filter for an adjustable speed drive for a 1.1kW motor-generator set has been built and evaluated. To facilitate the application of the proposed technology for Internet-of-Things (IoT) devices, the impact of different durations, sampling frequencies, and data lengths on the estimation accuracy is evaluated. The results are favorably compared with the theoretical predictions and the measurement results obtained on a calibrated network analyzer. In addition, the performance of the proposed technique is favorably compared with the Trust-Region-Reflective Least Squares Method.
format article
author Wai-Kwan Lee
Henry Shu-Hung Chung
Wing-Hong Ricky Lau
author_facet Wai-Kwan Lee
Henry Shu-Hung Chung
Wing-Hong Ricky Lau
author_sort Wai-Kwan Lee
title Online Estimation of Intrinsic Parameters of Encapsulated Three-Phase Harmonic Filter Capacitors for IoT Applications
title_short Online Estimation of Intrinsic Parameters of Encapsulated Three-Phase Harmonic Filter Capacitors for IoT Applications
title_full Online Estimation of Intrinsic Parameters of Encapsulated Three-Phase Harmonic Filter Capacitors for IoT Applications
title_fullStr Online Estimation of Intrinsic Parameters of Encapsulated Three-Phase Harmonic Filter Capacitors for IoT Applications
title_full_unstemmed Online Estimation of Intrinsic Parameters of Encapsulated Three-Phase Harmonic Filter Capacitors for IoT Applications
title_sort online estimation of intrinsic parameters of encapsulated three-phase harmonic filter capacitors for iot applications
publisher IEEE
publishDate 2021
url https://doaj.org/article/e2c54aedbf0144de8cc8886236cd3ada
work_keys_str_mv AT waikwanlee onlineestimationofintrinsicparametersofencapsulatedthreephaseharmonicfiltercapacitorsforiotapplications
AT henryshuhungchung onlineestimationofintrinsicparametersofencapsulatedthreephaseharmonicfiltercapacitorsforiotapplications
AT winghongrickylau onlineestimationofintrinsicparametersofencapsulatedthreephaseharmonicfiltercapacitorsforiotapplications
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