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    A simple and effective detection strategy using double exponential scheme for photovoltaic systems monitoring

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    A simple and effective.pdf
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    7.341Mb
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    Description:
    Accepted manuscript
    Embargo End Date:
    2022-12-23
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    Type
    Article
    Authors
    Taghezouit, Bilal
    Harrou, Fouzi cc
    Sun, Ying cc
    Arab, Amar Hadj
    Larbes, Cherif
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Statistics Program
    KAUST Grant Number
    OSR-2019-CRG7-3800
    Date
    2020-12-23
    Embargo End Date
    2022-12-23
    Submitted Date
    2020-06-08
    Permanent link to this record
    http://hdl.handle.net/10754/666746
    
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    Abstract
    Effective and efficient monitoring of a photovoltaic plant are indispensable to maintain the generated power at the desired specifications. In this work, a simple and effective monitoring method based on parametric models and the double exponentially smoothing scheme is designed to monitor photovoltaic systems. This method merges the simplicity and flexibility of empirical models and the sensitivity of the double exponentially smoothing strategy to uncover small deviations. Essentially, the empirical models are adopted to obtain residuals to detect and identify occurred faults. Here, a double exponentially smoothing scheme is used to sense faults by examining the generated residuals. Moreover, to extend the flexibility of the double exponentially smoothing approach, a nonparametric detection threshold has been computed via kernel density estimation. Several different scenarios of faults were considered to assess the developed method, including PV string fault, inverter disconnection, circuit breaker faults, partial shading, PV modules short-circuited, and soiling on the PV array. It is showed using real data from a 9.54 kWp photovoltaic system that the considered faults were successfully traced using the developed approach.
    Citation
    Taghezouit, B., Harrou, F., Sun, Y., Arab, A. H., & Larbes, C. (2021). A simple and effective detection strategy using double exponential scheme for photovoltaic systems monitoring. Solar Energy, 214, 337–354. doi:10.1016/j.solener.2020.10.086
    Sponsors
    This publication is validated by experimental data produced within the photovoltaic solar energy division of the Centre de Développement des Energies Renouvelables (CDER). This publication is based upon work supported by King Abdullah University of Science and Technology (KAUST), Office of Sponsored Research (OSR) under Award No: OSR-2019-CRG7-3800.
    Publisher
    Elsevier BV
    Journal
    Solar Energy
    DOI
    10.1016/j.solener.2020.10.086
    Additional Links
    https://linkinghub.elsevier.com/retrieve/pii/S0038092X2031152X
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.solener.2020.10.086
    Scopus Count
    Collections
    Articles; Statistics Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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