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International Journal of Sustainable Energy Volume 33, 2014 - Issue 3
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Original Articles

Comparative study between two intelligent MPPT-controllers implemented on FPGA: application for photovoltaic systems

F. ChekiredLaboratory of Communication Devices and Photovoltaic Conversion, National Polytechnic School of Algiers, 10, Avenue Hassen Badi, El Harrach, Algiers16200, Algeria;Development Unit of Solar Equipments, Bousmail42000, Algeria
,
C. LarbesLaboratory of Communication Devices and Photovoltaic Conversion, National Polytechnic School of Algiers, 10, Avenue Hassen Badi, El Harrach, Algiers16200, Algeria
&
A. MellitDepartment of Electronics, Faculty of Sciences and Technology, Jijel University, Jijel18000, Algeria;International Centre for Theoretical Physics, Trieste, ItalyCorrespondence[email protected]
[email protected]
Pages 483-499 | Received 21 Jun 2011, Accepted 18 Oct 2012, Published online: 19 Dec 2012

Citations (14)

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Kashif Javed, Haroon Ashfaq & Rajveer Singh. (2020) A new simple MPPT algorithm to track MPP under partial shading for solar photovoltaic systems. International Journal of Green Energy 17:1, pages 48-61.
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Articles from other publishers (13)

Sumit Gavhale & Vaishali Malekar. (2022) Hybrid Maximum Power Tracking Technique for Partially Shaded PV Arrays. International Journal of Advanced Research in Science, Communication and Technology, pages 888-894.
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Maria I. S. Guerra, Fábio M. U. de Araújo, João T. de Carvalho Neto & Romênia G. Vieira. (2022) Survey on adaptative neural fuzzy inference system (ANFIS) architecture applied to photovoltaic systems. Energy Systems.
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Davide Portaluppi, Klaus Pasquinelli, Iris Cusini & Franco Zappa. (2022) Multi-Channel FPGA Time-to-Digital Converter With 10 ps Bin and 40 ps FWHM. IEEE Transactions on Instrumentation and Measurement 71, pages 1-9.
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Essam H. Houssein, Mohamed A. Mahdy, Ahmed Fathy & Hegazy Rezk. (2021) A modified Marine Predator Algorithm based on opposition based learning for tracking the global MPP of shaded PV system. Expert Systems with Applications 183, pages 115253.
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Afshan Ilyas, M. Rizwan Khan & Mohammad Ayyub. (2020) FPGA based real-time implementation of fuzzy logic controller for maximum power point tracking of solar photovoltaic system. Optik 213, pages 164668.
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J. de la Cruz-Alejo, R. Antonio-Méndez & M. Salazar-Pereyra. (2017) Fuzzy logic control on FPGA for two axes solar tracking. Neural Computing and Applications 31:7, pages 2469-2483.
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Santosh Ghosh, Vinod Kumar Yadav & Vivekananda Mukherjee. (2019) Impact of environmental factors on photovoltaic performance and their mitigation strategies–A holistic review. Renewable Energy Focus 28, pages 153-172.
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S. Belhimer, M. Haddadi & A. Mellit. (2018) A novel hybrid boost converter with extended duty cycles range for tracking the maximum power point in photovoltaic system applications. International Journal of Hydrogen Energy 43:14, pages 6887-6898.
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Sabrina Titri, Cherif Larbes, Kamal Youcef Toumi & Karima Benatchba. (2017) A new MPPT controller based on the Ant colony optimization algorithm for Photovoltaic systems under partial shading conditions. Applied Soft Computing 58, pages 465-479.
Crossref
Hadi M. El-Helw, Ahmed Magdy & Mostafa I. Marei. (2017) A Hybrid Maximum Power Point Tracking Technique for Partially Shaded Photovoltaic Arrays. IEEE Access 5, pages 11900-11908.
Crossref
T. T. Yetayew & T. R. Jyothsna. (2015) Evaluation of fuzzy logic based maximum power point tracking for photovoltaic power system. Evaluation of fuzzy logic based maximum power point tracking for photovoltaic power system.
Ricardo Antonio-Mendez, Jesus de la Cruz-Alejo & Ollin Peñaloza-Mejia. 2015. Multibody Mechatronic Systems. Multibody Mechatronic Systems 11 21 .
Mohammad Reza Chavoshian, Amin Rouholamini, Hamid Reza Naji, Roohollah Fadaeinedjad & Rasoul Faraji. (2014) FPGA-based real time incremental conductance maximum power point tracking controller for photovoltaic systems. IET Power Electronics 7:5, pages 1294-1304.
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