A Study on the Improvement of Efficiency by Detection Solar Module Faults in Deteriorated Photovoltaic Power Plants

In recent years, photovoltaic (PV) power generation has attracted considerable attention as a new eco-friendly and renewable energy technology. With the development of semiconductor manufacturing technologies, PV is gradually increasing. this paper, we analyze types defects that form in panels propose method for enhancing productivity efficiency stations by determining aging modules based on their temperature, output, panel images. The proposed paper allows replacement individual are experiencing malfunction, thereby reducing output loss solar plants. aim to develop enables users immediately check type failures among six failure frequently occur panels—namely, hotspot, breakage, connector busbar cell overheating, diode failure—based thermal images using detection system. By comparing data acquired study with station, increased detecting module faults deteriorated