Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Abou Soufiane Benyoucef"'
Autor:
Smail Chtita, Saad Motahhir, Aboubakr El Hammoumi, Aissa Chouder, Abou Soufiane Benyoucef, Abdelaziz El Ghzizal, Aziz Derouich, Mohamed Abouhawwash, S. S. Askar
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract One of the major challenges in photovoltaic (PV) systems is extracting the maximum power from the PV array, especially when they operate under partial shading conditions (PSCs). To address this challenge, this paper introduces a novel hybrid
Externí odkaz:
https://doaj.org/article/5286ee9d6fed402b8803c890a74efee1
Autor:
Smail Chtita, Saad Motahhir, Aboubakr El Hammoumi, Aissa Chouder, Abou Soufiane Benyoucef, Abdelaziz El Ghzizal, Aziz Derouich, Mohamed Abouhawwash, S. S. Askar
Publikováno v:
Scientific reports. 12(1)
One of the major challenges in photovoltaic (PV) systems is extracting the maximum power from the PV array, especially when they operate under partial shading conditions (PSCs). To address this challenge, this paper introduces a novel hybrid maximum
Autor:
Saad Motahhir, Abdelaziz El Ghzizal, Aboubakr El Hammoumi, Kamel Kara, Sofiane Kichou, Padmanaban Sanjeevikumar, Aissa Chouder, Santiago Silvestre, Abou soufiane Benyoucef
Publikováno v:
Motahhir, S, Chouder, A, El Hammoumi, A, Benyoucef, A S, El Ghzizal, A, Kichou, S, Kara, K, Sanjeevikumar, P & Silvestre, S 2021, ' Optimal energy harvesting from a multistrings PV generator based on artificial bee colony algorithm ', IEEE Systems Journal, vol. 15, no. 3, 2997744, pp. 4137-4144 . https://doi.org/10.1109/jsyst.2020.2997744
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Universitat Politècnica de Catalunya (UPC)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
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Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f74b56f0f01762af089064564cc6f15f
https://hdl.handle.net/2117/192477
https://hdl.handle.net/2117/192477
Autor:
Kamel Kara, Aissa Chouder, Badia Amrouche, Abou soufiane Benyoucef, Chérifa Kara Mostefa Khelil
Publikováno v:
Energy. 211:118591
The present work brings a new intelligent algorithm for PV system’s diagnosis and fault detection (IFD). At this stage of the study, this algorithm can detect and identify three recurrent cases between healthy and short circuit faults, as well as s