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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Main Authors: Akoro Edjadessamam, Bokovi Yao, Agbessi Akueté Pierre, Ateyo Gnakou Mazama
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:E3S Web of Conferences
Subjects:
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.
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institution Kabale University
issn 2267-1242
language English
publishDate 2025-01-01
publisher EDP Sciences
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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
work_keys_str_mv AT akoroedjadessamam studyofthestabilityofahighpowerpvconversionchainforisolatedsitesupply
AT bokoviyao studyofthestabilityofahighpowerpvconversionchainforisolatedsitesupply
AT agbessiakuetepierre studyofthestabilityofahighpowerpvconversionchainforisolatedsitesupply
AT ateyognakoumazama studyofthestabilityofahighpowerpvconversionchainforisolatedsitesupply