Time-Variant Schwarz Based Model for DC Series Arc Fault Modeling in Photovoltaic Systems

DC series arc fault(DCSAF) in photovoltaic systems is a controversial issue owing to the challenges related its modeling and protection. This article focuses on efficient models based Schwarz model for DCSAF utilizing actual recorded data. The original has four parameters, containing two coefficients orders, all parameters are constant. Despite that uses invariant modeling, proposed employ which time-variant nature of arc's taken into account. first developed with constant orders derived part. While provides more capability compared second full also presented A novel optimization technique Powell's dog leg algorithm estimate every simulation window. Therefore, both modified change As result, they classified as time series, examined using autoregressive moving average process. By data, performance assessed. Analyses show comparison model.