Model Predictive Direct Power Control of Grid-connected Converters Considering Unbalanced Filter Inductance and Grid Conditions

The grid-connected converter (GCC) is widely used as the interface between various distributed generations and the utility grid. To achieve precise power control for GCC, this paper presents a model predictive direct power control (MPDPC) with consideration of the unbalanced filter inductance and gr...

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Autores principales: Weichen Yang, Shihong Miao, Zhiwei Liu, Ji Han, Yulong Xiong, Qingyu Tu
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/efe8a4c2449d4be58672816d49ce3b64
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spelling oai:doaj.org-article:efe8a4c2449d4be58672816d49ce3b642021-11-30T00:00:26ZModel Predictive Direct Power Control of Grid-connected Converters Considering Unbalanced Filter Inductance and Grid Conditions2196-542010.35833/MPCE.2021.000355https://doaj.org/article/efe8a4c2449d4be58672816d49ce3b642021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9627868/https://doaj.org/toc/2196-5420The grid-connected converter (GCC) is widely used as the interface between various distributed generations and the utility grid. To achieve precise power control for GCC, this paper presents a model predictive direct power control (MPDPC) with consideration of the unbalanced filter inductance and grid conditions. First, the characteristics of GCC with unbalanced filter inductance are analyzed and a modified voltage control function is derived. On this basis, to compensate for the power oscillation caused by unbalanced filter inductance, a novel power compensation method is proposed for MPDPC to eliminate the DC-side current ripple while maintaining sinusoidal grid current. Besides, to improve the control robustness against mismatched filter inductance, a filter inductance identification scheme is proposed. Through this scheme, the estimated value of filter inductance is updated in each control period and applied in the proposed MPDPC. Finally, simulation results in PSCAD/EMTDC confirm the validity of the proposed MPDPC and the filter inductance identification scheme.Weichen YangShihong MiaoZhiwei LiuJi HanYulong XiongQingyu TuIEEEarticleInductance identificationgrid-connected convertermodel predictive controlpower oscillation eliminationunbalanced grid conditionsProduction of electric energy or power. Powerplants. Central stationsTK1001-1841Renewable energy sourcesTJ807-830ENJournal of Modern Power Systems and Clean Energy, Vol 9, Iss 6, Pp 1279-1288 (2021)
institution DOAJ
collection DOAJ
language EN
topic Inductance identification
grid-connected converter
model predictive control
power oscillation elimination
unbalanced grid conditions
Production of electric energy or power. Powerplants. Central stations
TK1001-1841
Renewable energy sources
TJ807-830
spellingShingle Inductance identification
grid-connected converter
model predictive control
power oscillation elimination
unbalanced grid conditions
Production of electric energy or power. Powerplants. Central stations
TK1001-1841
Renewable energy sources
TJ807-830
Weichen Yang
Shihong Miao
Zhiwei Liu
Ji Han
Yulong Xiong
Qingyu Tu
Model Predictive Direct Power Control of Grid-connected Converters Considering Unbalanced Filter Inductance and Grid Conditions
description The grid-connected converter (GCC) is widely used as the interface between various distributed generations and the utility grid. To achieve precise power control for GCC, this paper presents a model predictive direct power control (MPDPC) with consideration of the unbalanced filter inductance and grid conditions. First, the characteristics of GCC with unbalanced filter inductance are analyzed and a modified voltage control function is derived. On this basis, to compensate for the power oscillation caused by unbalanced filter inductance, a novel power compensation method is proposed for MPDPC to eliminate the DC-side current ripple while maintaining sinusoidal grid current. Besides, to improve the control robustness against mismatched filter inductance, a filter inductance identification scheme is proposed. Through this scheme, the estimated value of filter inductance is updated in each control period and applied in the proposed MPDPC. Finally, simulation results in PSCAD/EMTDC confirm the validity of the proposed MPDPC and the filter inductance identification scheme.
format article
author Weichen Yang
Shihong Miao
Zhiwei Liu
Ji Han
Yulong Xiong
Qingyu Tu
author_facet Weichen Yang
Shihong Miao
Zhiwei Liu
Ji Han
Yulong Xiong
Qingyu Tu
author_sort Weichen Yang
title Model Predictive Direct Power Control of Grid-connected Converters Considering Unbalanced Filter Inductance and Grid Conditions
title_short Model Predictive Direct Power Control of Grid-connected Converters Considering Unbalanced Filter Inductance and Grid Conditions
title_full Model Predictive Direct Power Control of Grid-connected Converters Considering Unbalanced Filter Inductance and Grid Conditions
title_fullStr Model Predictive Direct Power Control of Grid-connected Converters Considering Unbalanced Filter Inductance and Grid Conditions
title_full_unstemmed Model Predictive Direct Power Control of Grid-connected Converters Considering Unbalanced Filter Inductance and Grid Conditions
title_sort model predictive direct power control of grid-connected converters considering unbalanced filter inductance and grid conditions
publisher IEEE
publishDate 2021
url https://doaj.org/article/efe8a4c2449d4be58672816d49ce3b64
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AT zhiweiliu modelpredictivedirectpowercontrolofgridconnectedconvertersconsideringunbalancedfilterinductanceandgridconditions
AT jihan modelpredictivedirectpowercontrolofgridconnectedconvertersconsideringunbalancedfilterinductanceandgridconditions
AT yulongxiong modelpredictivedirectpowercontrolofgridconnectedconvertersconsideringunbalancedfilterinductanceandgridconditions
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