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
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;
Conference_Titel :
Power Electronics and Motion Control Conference and Exposition (PEMC), 2014 16th International
Conference_Location :
Antalya
DOI :
10.1109/EPEPEMC.2014.6980544