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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2021
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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 |
work_keys_str_mv |
AT weichenyang modelpredictivedirectpowercontrolofgridconnectedconvertersconsideringunbalancedfilterinductanceandgridconditions AT shihongmiao modelpredictivedirectpowercontrolofgridconnectedconvertersconsideringunbalancedfilterinductanceandgridconditions AT zhiweiliu modelpredictivedirectpowercontrolofgridconnectedconvertersconsideringunbalancedfilterinductanceandgridconditions AT jihan modelpredictivedirectpowercontrolofgridconnectedconvertersconsideringunbalancedfilterinductanceandgridconditions AT yulongxiong modelpredictivedirectpowercontrolofgridconnectedconvertersconsideringunbalancedfilterinductanceandgridconditions AT qingyutu modelpredictivedirectpowercontrolofgridconnectedconvertersconsideringunbalancedfilterinductanceandgridconditions |
_version_ |
1718406898277941248 |