Abstract
In photovoltaic (PV) system, the output power is depending on the smooth operation of PV array. PV array may suffer from different fault condition due to open circuit, short circuit and partial shading condition. Fault is a abnormal condition that can cause hindrance to the smooth operation of PV system. Fault identification is major challenge to the design engineers to avoid power loss as well as damage to the PV system. Open circuit, short circuit and partial shading are most frequent faults that occur in PV array system. Many Researchers proposed fault diagnosis methods to recognize faults in PV array, majority failed in accurate and fast detection of faults. In this paper a novel method consists of Stockwell transform and machine learning based algorithm is used to detect and classify faults in PV array. The Necessary simulations and classification tasks are carried out in MATLAB Software.
Published Version
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