Recognition of Faulty Modules in a Photovoltaic Array Using Image Processing Techniques

Abstract

Visual techniques are very helpful in recognizing the condition of photovoltaic panels which are extensively used for power generation. Being clean source of energy and having zero fuel cost, solar industry has developed in no time. In order to seek maximum power from a photovoltaic, the modules installed in a PV array should be in good health. However, studies show that, direct exposure to sunlight and other faults within a PV array may damage some modules, which in turn may lead to overall efficiency reduction. This research work aims to present a visual technique to recognize faulty module in a PV array by optical image analysis. In addition to imaging techniques, the proposed framework implements mathematical modelling to correctly determine a faulty cell within a PV module. In past, thermal imaging has been used for this purpose but almost negligible work has been done by employing an optimal camera, in this regard, the proposed technique could prove to be a cost effective and efficient alternate solution to the stated problem.