• DocumentCode
    182381
  • Title

    Real-time diagnosis of PV system by using the Sequential Probability Ratio Test (SPRT)

  • Author

    Davarifar, M. ; Rabhi, A. ; Hajjaji, A. ; Daneshifar, Z.

  • Author_Institution
    Lab. of Modelling, Univ. of Picardie Jules Verne (UPJV), Amiens, France
  • fYear
    2014
  • fDate
    21-24 Sept. 2014
  • Firstpage
    508
  • Lastpage
    513
  • Abstract
    Online monitoring of PV performance is prevalent in household application and fault supervisory system is new expectation of home user investors. In this regards, this paper has proposed Online PV fault Diagnosis by using Sequential Probability Ratio Test (SPRT) for improve measured signal value and anomaly detection. To identify defect characteristic of PV system, voltage and current of PV system are measured online and compared with simulated values, then residual signal is generated. SPRT let us to detect anomaly condition in-situ, and improve making decision for residual signal. With investigating of two residual signal of current and voltage, fault diagnosis procedure is suggested to classify types of fault and eventually find probability of fault location.
  • Keywords
    fault location; photovoltaic power systems; probability; PV system real-time diagnosis; SPRT; anomaly detection; fault location probability; measured signal value improvement; online PV fault diagnosis; sequential probability ratio test; Circuit faults; Junctions; Measurement uncertainty; Monitoring; Standards; Uncertainty; Voltage measurement; Faults diagnosis; PV System; Real time modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference and Exposition (PEMC), 2014 16th International
  • Conference_Location
    Antalya
  • Type

    conf

  • DOI
    10.1109/EPEPEMC.2014.6980544
  • Filename
    6980544