This paper deals with FFT and DWT based analysis of statistical parameter for line to ground (LG) fault diagnosis in solar- microgrids. Solar photovoltaic (SPV) arrays have been used as energy resources to the microgrids system. Voltage source converter-based inverter has been used for voltage conversion and its output signal has been considered for analysis. Current signals have been analysed at normal condition as well as line to ground conditions. Sub-harmonics content, THD and DC component present in the current signals have been measured both at normal and LG fault conditions. Then wavelet decomposition of current signals has been performed. Approximate and detailed co-efficient have been measured and analysed by their Kurtosis and Skewness values at different decomposition levels. Significant changes have been observed in sub-harmonics content, Skewness and Kurtosis at certain decomposition levels during LG fault conditions with respect to normal situation, which may be used for effective analysis of different line to ground fault at high voltage bus from low voltage inverter terminal.