Fault analysis in grid-connected solar photovoltaic systems based on multi-objective grey wolf optimisation

The renewable energy resources depend on environmental concerns. Photovoltaic (PV) systems are an interesting form of resource. two main problems associated with PV nonuniformity irradiation and temperature change. achieving maximum power point tracking dependent electronics converters. Emissions a key challenge for the future conventional resources, which play important role in generation system. It is crucial applications industry because primary goal optimization to discover specific research. We offer using population search agents based fitness, multi-objective grey wolf optimizer, more modern meta-heuristic hunting habits social structure wolves, optimizing adaptive controllers failures grid analysis system integration various faults cause several quality issues. Harmonics, voltage sag swell imbalances, many conditioning topologies. This was carried out MATLAB/Simulink, results showed superior flexible performance reducing imperfections at loading situations.