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| 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
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.
| 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 |
| 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 |
| 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. |