Modelling and prediction of current harmonics generated by power converters in distribution networks
Abstract Predicting current harmonics in distribution networks is essential to find harmonic losses and power quality indices. In order to predict the current harmonics, the effect of grid impedance and voltage distortions on grid‐connected power converters need to be considered. The effects of thes...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-08-01
|
Series: | IET Generation, Transmission & Distribution |
Online Access: | https://doi.org/10.1049/gtd2.12166 |
id |
doaj-609a4ef0d9504e10ae7489c7648cc58d |
---|---|
record_format |
Article |
spelling |
doaj-609a4ef0d9504e10ae7489c7648cc58d2021-07-14T13:20:11ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952021-08-0115152191220210.1049/gtd2.12166Modelling and prediction of current harmonics generated by power converters in distribution networksArash Moradi0Jalil Yaghoobi1Abdulrahman Alduraibi2Firuz Zare3Dinesh Kumar4Rahul Sharma5School of Information Technology & Electrical Engineering The University of Queensland Brisbane AustraliaSchool of Information Technology & Electrical Engineering The University of Queensland Brisbane AustraliaSchool of Information Technology & Electrical Engineering The University of Queensland Brisbane AustraliaSchool of Information Technology & Electrical Engineering The University of Queensland Brisbane AustraliaGlobal Research and Development Centre Danfoss Drives A/S Gråsten 6300 DenmarkSchool of Information Technology & Electrical Engineering The University of Queensland Brisbane AustraliaAbstract Predicting current harmonics in distribution networks is essential to find harmonic losses and power quality indices. In order to predict the current harmonics, the effect of grid impedance and voltage distortions on grid‐connected power converters need to be considered. The effects of these parameters on current harmonics can be nonlinear, which complicates the system analysis. Consequently, this paper investigates the impacts of background voltage harmonics, grid impedance, and multi‐parallel grid‐connected converters on current harmonics at a point of common coupling. Moreover, a novel method called combined least squares and kriging (CLSK) is proposed to predict the current harmonics after evaluating the level of system nonlinearity. In the proposed CLSK method, the prediction model is developed by measured voltage and current harmonics at the point of common coupling to identify and predict the current harmonics. This analysis shows that using the proposed CLSK method, the accuracy of the current harmonic prediction is increased compared to the existing methods. The accuracy and the efficiency of the proposed CLSK method are verified by lab experimental results and field measurement data.https://doi.org/10.1049/gtd2.12166 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Arash Moradi Jalil Yaghoobi Abdulrahman Alduraibi Firuz Zare Dinesh Kumar Rahul Sharma |
spellingShingle |
Arash Moradi Jalil Yaghoobi Abdulrahman Alduraibi Firuz Zare Dinesh Kumar Rahul Sharma Modelling and prediction of current harmonics generated by power converters in distribution networks IET Generation, Transmission & Distribution |
author_facet |
Arash Moradi Jalil Yaghoobi Abdulrahman Alduraibi Firuz Zare Dinesh Kumar Rahul Sharma |
author_sort |
Arash Moradi |
title |
Modelling and prediction of current harmonics generated by power converters in distribution networks |
title_short |
Modelling and prediction of current harmonics generated by power converters in distribution networks |
title_full |
Modelling and prediction of current harmonics generated by power converters in distribution networks |
title_fullStr |
Modelling and prediction of current harmonics generated by power converters in distribution networks |
title_full_unstemmed |
Modelling and prediction of current harmonics generated by power converters in distribution networks |
title_sort |
modelling and prediction of current harmonics generated by power converters in distribution networks |
publisher |
Wiley |
series |
IET Generation, Transmission & Distribution |
issn |
1751-8687 1751-8695 |
publishDate |
2021-08-01 |
description |
Abstract Predicting current harmonics in distribution networks is essential to find harmonic losses and power quality indices. In order to predict the current harmonics, the effect of grid impedance and voltage distortions on grid‐connected power converters need to be considered. The effects of these parameters on current harmonics can be nonlinear, which complicates the system analysis. Consequently, this paper investigates the impacts of background voltage harmonics, grid impedance, and multi‐parallel grid‐connected converters on current harmonics at a point of common coupling. Moreover, a novel method called combined least squares and kriging (CLSK) is proposed to predict the current harmonics after evaluating the level of system nonlinearity. In the proposed CLSK method, the prediction model is developed by measured voltage and current harmonics at the point of common coupling to identify and predict the current harmonics. This analysis shows that using the proposed CLSK method, the accuracy of the current harmonic prediction is increased compared to the existing methods. The accuracy and the efficiency of the proposed CLSK method are verified by lab experimental results and field measurement data. |
url |
https://doi.org/10.1049/gtd2.12166 |
work_keys_str_mv |
AT arashmoradi modellingandpredictionofcurrentharmonicsgeneratedbypowerconvertersindistributionnetworks AT jalilyaghoobi modellingandpredictionofcurrentharmonicsgeneratedbypowerconvertersindistributionnetworks AT abdulrahmanalduraibi modellingandpredictionofcurrentharmonicsgeneratedbypowerconvertersindistributionnetworks AT firuzzare modellingandpredictionofcurrentharmonicsgeneratedbypowerconvertersindistributionnetworks AT dineshkumar modellingandpredictionofcurrentharmonicsgeneratedbypowerconvertersindistributionnetworks AT rahulsharma modellingandpredictionofcurrentharmonicsgeneratedbypowerconvertersindistributionnetworks |
_version_ |
1721302923835604992 |