International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Study of PV Array Systems Fault Detection and Classification Methods

Mr. Tushar G. Nakod, Prof. Nitin N. Mandaogade

Abstract :

In recent years the detection, as well as the identification of various faults in the Photovoltaic (PV) system applications, has been attracting several researchers across the world. Photovoltaic (PV) power generation systems are very good in working with several climatic outdoor conditions; Hence the present faults can see to occur within the PV arrays in PV systems. Online fault detection for the PV arrays is important to improve the system’s reliability, safety, and efficiency. There are some researches shows the working of the potential faults in order to monitor the faults as well as to make identifications through fault diagnosis that have been elaborated in order to develop and to modify the present problems solving method so to detect early faults in Photovoltaic (PV) system present in the system operators. In this paper, the author tries to put information precisely taken forward from previous research. The author also explains the latest trends applied in the PV system fault diagnosis as well as protection system. In this paper, a new approach towards literature has been introduced associated with the fault studies present in the PV systems. In this survey, the paper author has explained further discussions over how specific solutions can be provided to make a comprehensive solution to the fault problems of the PV system. This paper presents the classification and detection of faults in a distributed generation, particularly Photovoltaic (PV) Grid-Connected system. The initial step in fault detection of a PV system is recognition, investigation, and classification of all possible faults that maybe occur in the system.

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