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dc.contributor.authorElmetennani, Shahrazed
dc.contributor.authorLaleg-Kirati, Taous-Meriem
dc.contributor.authorDjemai, M.
dc.contributor.authorTadjine, M.
dc.date.accessioned2017-01-02T09:08:25Z
dc.date.available2017-01-02T09:08:25Z
dc.date.issued2016-10-24
dc.identifier.citationElmetennani S, Laleg-Kirati TM, Djemai M, Tadjine M (2016) New MPPT algorithm for PV applications based on hybrid dynamical approach. Journal of Process Control 48: 14–24. Available: http://dx.doi.org/10.1016/j.jprocont.2016.10.001.
dc.identifier.issn0959-1524
dc.identifier.doi10.1016/j.jprocont.2016.10.001
dc.identifier.urihttp://hdl.handle.net/10754/622318
dc.description.abstractThis paper proposes a new Maximum Power Point Tracking (MPPT) algorithm for photovoltaic applications using the multicellular converter as a stage of power adaptation. The proposed MPPT technique has been designed using a hybrid dynamical approach to model the photovoltaic generator. The hybrid dynamical theory has been applied taking advantage of the particular topology of the multicellular converter. Then, a hybrid automata has been established to optimize the power production. The maximization of the produced solar energy is achieved by switching between the different operative modes of the hybrid automata, which is conditioned by some invariance and transition conditions. These conditions have been validated by simulation tests under different conditions of temperature and irradiance. Moreover, the performance of the proposed algorithm has been then evaluated by comparison with standard MPPT techniques numerically and by experimental tests under varying external working conditions. The results have shown the interesting features that the hybrid MPPT technique presents in terms of performance and simplicity for real time implementation.
dc.description.sponsorshipThis work has been supported and funded by the CEMSE division at KAUST. It has been experimentally validated thanks to the experimental test bench in the LAMIH laboratory in Univ. Lille Nord. The authors would like to thank as well the Laboratory of Process Control where this study has been launched. They also wish to express their gratitude to Mr. Merouane Nouioui for helping during the experimental validation of the algorithm.
dc.publisherElsevier BV
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0959152416301366
dc.subjectMPPT
dc.subjectHybrid automata
dc.subjectPhotovoltaic system
dc.subjectMulticellular converter
dc.titleNew MPPT algorithm for PV applications based on hybrid dynamical approach
dc.typeArticle
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalJournal of Process Control
dc.contributor.institutionUVHC, LAMIH, University of Valenciennes and Hainaut Cambresis, France
dc.contributor.institutionAutomatic Control Department, Process Control Laboratory, National Polytechnic School, Algeria
kaust.personElmetennani, Shahrazed
kaust.personLaleg-Kirati, Taous-Meriem
dc.date.published-online2016-10-24
dc.date.published-print2016-12


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