Condition Monitoring of Solar PV System using Different Methods in Varying Environment Condition -A Review

An effective power source for generating the electricity has long been thought to be a solar system. A scratch on the solar panel's surface causes the reduction in the yield. Detection of the fault in the solar cell’s performance is essential to be done to get the higher efficiency. Environmental and climatic conditions often degrade the performance of PV systems. PV systems must be properly maintained and faults should be detected in order to improve their performance, prompting the need for condition monitoring. Temperature and projected solar irradiances are important variables to consider while analyzing the effectiveness of the monitoring purpose. In this paper different methods of monitoring and their difference is discussed and compared. An ANN method is used to precisely predict the solar irradiance and temperature of the Solar PV system using previous different environment conditions using MATLAB ANN tool.