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Solar photovoltaic (PV) arrays connected with the microgrid system consist of multiple strings interconnected in different ways. This paper deals the diagnosis of faults that occurred in one or multiple of such strings. Output currents from inverter output terminals of the microgrid system have been captured for assessment. Fast Fourier Transformation (FFT)-based DC components and total harmonics distortions (THD) have been calculated. Discreet wavelet transformation (DWT)-based approximate and detail coefficients of inverter output currents have been analysed by statistical parameters such as skewness and kurtosis. These analyses have been carried out at normal conditions and different string fault conditions. Specific relations have been observed among percentage of string faults with DC components, THD, kurtosis and skewness at certain DWT levels. Parametric selection has been done and algorithm has been proposed for string fault assessment. Case studies have been performed with the data collected from real system and the algorithm has been validated.

String Fault Detection in Solar Photo Voltaic Arrays