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Predictive Virtual Capacitance Control for Harmonic and Reactive Power Sharing in Microgrids
Indexado
WoS WOS:000782444300166
Scopus SCOPUS_ID:85125770113
DOI 10.1109/PRECEDE51386.2021.9680953
Año 2021
Tipo proceedings paper

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Distributed generations systems (DGs) are usually parallel-connected to supply various kinds of loads in microgrids. In particular, the presence of nonlinear loads results in harmonic load currents. In addition, unmatched feeder line impedances cause disproportionate sharing of harmonic power and reactive power among online DGs. To solve these challenges, this paper proposes a novel model predictive virtual capacitance control scheme. It relies on the symmetrical components decomposition of distorted load current waveform into positive and negative sequences. This control method can work accurately without accurate feeder line information, and can be implemented with a sparse communication network. The performance of the proposed method is verified through several test scenarios on an AC microgrid.

Revista



Revista ISSN
978-1-6654-2557-5

Métricas Externas



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Disciplinas de Investigación



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Scopus
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SciELO
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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Babayomi, Oluleke - Shandong Univ - China
Shandong University - China
2 Zhang, Zhenbin Hombre Shandong Univ - China
Shandong University - China
3 RODRIGUEZ-PEREZ, JOSE RAMON Hombre Universidad Nacional Andrés Bello - Chile
4 IEEE Corporación

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Financiamiento



Fuente
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province
Shandong Natural Science Foundation
ANID
General Program of National Natural Science Foundation of China
National Distinguished Expert
National Distinguished Expert (Youth Talent) Program of China
Shandong Provincial Key Research & Development Program (Major Scientific and Technological Innovation Project)
Shandong Provincial Key Research & Development Program

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
The corresponding author is Zhenbin Zhang. This work is financially supported in part by the Shandong Provincial Key Research & Development Program (Major Scientific and Technological Innovation Project NO.2019JZZY020805), in part by the National Distinguished Expert (Youth Talent) Program of China (31390089963058), in part by the General Program of National Natural Science Foundation of China (51977124), in part by the Shandong Natural Science Foundation (ZR2019QEE001). J. Rodriguez acknowledges the support of ANID through projects FB0008, ACT192013 and 1210208.
The corresponding author is Zhenbin Zhang. This work is financially supported in part by the Shandong Provincial Key Research & Development Program (Major Scientific and Technological Innovation Project NO.2019JZZY020805), in part by the National Distinguished Expert (Youth Talent) Program of China (31390089963058), in part by the General Program of National Natural Science Foundation of China (51977124), in part by the Shandong Natural Science Foundation (ZR2019QEE001). J. Rodriguez acknowledges the support of ANID through projects FB0008, ACT192013 and 1210208.

Muestra la fuente de financiamiento declarada en la publicación.