• Login
    View Item 
    •   Home
    • Research
    • Articles
    • View Item
    •   Home
    • Research
    • Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    New MPPT algorithm for PV applications based on hybrid dynamical approach

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Type
    Article
    Authors
    Elmetennani, Shahrazed cc
    Laleg-Kirati, Taous-Meriem cc
    Djemai, M.
    Tadjine, M.
    KAUST Department
    Computational Bioscience Research Center (CBRC)
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2016-10-24
    Online Publication Date
    2016-10-24
    Print Publication Date
    2016-12
    Permanent link to this record
    http://hdl.handle.net/10754/622318
    
    Metadata
    Show full item record
    Abstract
    This 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.
    Citation
    Elmetennani 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.
    Sponsors
    This 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.
    Publisher
    Elsevier BV
    Journal
    Journal of Process Control
    DOI
    10.1016/j.jprocont.2016.10.001
    Additional Links
    http://www.sciencedirect.com/science/article/pii/S0959152416301366
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.jprocont.2016.10.001
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

    entitlement

     
    DSpace software copyright © 2002-2023  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.