Abstract:
In recent years a lot of work is done regarding energy generation from photovoltaics (PV). But
still the efficiency of this power is far less than the other energy resources. By Increasing the
performance of the PV system, not only reduces the overall cost but also enhances the life span
of the PV system. Previously many efforts have been put in this direction. This research
presents the detection, classification, and localization of partial shadow (PS) fault, inter string
line-to-line (ISLL) fault, intra string line-to-line (ESLL) fault, line to ground (LG) fault and
open circuit (OC) fault through machine learning Gaussian process regression (GPR). Solar
cell’s parameters for one diode model (ODM) are utilized for detection, classification. In
addition, defining fault location is as important to detect them. Fault location is also determined
in this work.
