Study of the stability of a high-power PV conversion chain for isolated site supply
The aim of this paper is to design and study the stability of a 500 kW PV string connected to a DC-AC load. To achieve this, a MPPT method based on a hybrid Artificial Neural Network (ANN)-Synergistic Control Algorithm (SCA) already developed in the literature will be used to find the system's...
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EDP Sciences
2025-01-01
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Series: | E3S Web of Conferences |
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Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00086.pdf |
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author | Akoro Edjadessamam Bokovi Yao Agbessi Akueté Pierre Ateyo Gnakou Mazama |
author_facet | Akoro Edjadessamam Bokovi Yao Agbessi Akueté Pierre Ateyo Gnakou Mazama |
author_sort | Akoro Edjadessamam |
collection | DOAJ |
description | The aim of this paper is to design and study the stability of a 500 kW PV string connected to a DC-AC load. To achieve this, a MPPT method based on a hybrid Artificial Neural Network (ANN)-Synergistic Control Algorithm (SCA) already developed in the literature will be used to find the system's maximum power point. This control will enable the PV generator to deliver maximum energy. Next, the power control approach will be developed to control the inverter, and the stability of the overall system will be studied. |
format | Article |
id | doaj-art-b54487c855264c3c9c5fa28dbd463ebc |
institution | Kabale University |
issn | 2267-1242 |
language | English |
publishDate | 2025-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj-art-b54487c855264c3c9c5fa28dbd463ebc2025-02-05T10:46:25ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016010008610.1051/e3sconf/202560100086e3sconf_icegc2024_00086Study of the stability of a high-power PV conversion chain for isolated site supplyAkoro Edjadessamam0Bokovi Yao1Agbessi Akueté Pierre2Ateyo Gnakou Mazama3CERME (Centre d’Excellence Régional pour la Maîtrise de l’Electricité/ Laboratory of Research in Engineering Sciences (LARSI), Université de LoméCERME (Centre d’Excellence Régional pour la Maîtrise de l’Electricité/ Laboratory of Research in Engineering Sciences (LARSI), Université de LoméCERME (Centre d’Excellence Régional pour la Maîtrise de l’Electricité/ Laboratory of Research in Engineering Sciences (LARSI), Université de LoméCERME (Centre d’Excellence Régional pour la Maîtrise de l’Electricité/ Laboratory of Research in Engineering Sciences (LARSI), Université de LoméThe aim of this paper is to design and study the stability of a 500 kW PV string connected to a DC-AC load. To achieve this, a MPPT method based on a hybrid Artificial Neural Network (ANN)-Synergistic Control Algorithm (SCA) already developed in the literature will be used to find the system's maximum power point. This control will enable the PV generator to deliver maximum energy. Next, the power control approach will be developed to control the inverter, and the stability of the overall system will be studied.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00086.pdfphotovoltaic (pv)artificial neural networkmaximum power point (mppt)synergic controller algorithmstability |
spellingShingle | Akoro Edjadessamam Bokovi Yao Agbessi Akueté Pierre Ateyo Gnakou Mazama Study of the stability of a high-power PV conversion chain for isolated site supply E3S Web of Conferences photovoltaic (pv) artificial neural network maximum power point (mppt) synergic controller algorithm stability |
title | Study of the stability of a high-power PV conversion chain for isolated site supply |
title_full | Study of the stability of a high-power PV conversion chain for isolated site supply |
title_fullStr | Study of the stability of a high-power PV conversion chain for isolated site supply |
title_full_unstemmed | Study of the stability of a high-power PV conversion chain for isolated site supply |
title_short | Study of the stability of a high-power PV conversion chain for isolated site supply |
title_sort | study of the stability of a high power pv conversion chain for isolated site supply |
topic | photovoltaic (pv) artificial neural network maximum power point (mppt) synergic controller algorithm stability |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00086.pdf |
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