Study and analysis of fault detection in solar array system based on internet of things.

Recently, solar power represents one of the most stable and important renewable energy resources in our life, its importance increases every second because the planet will be run out of fossil fuel in the near future, but sometime uncertain fluctuations appear duo to rain, dust, clouds, and heat which prompts the issue of power supply interference. So that, in the traditional way, the solar panels have to be check from time to another to figure out if they still work correctly, and that could make either the maintenance cost will be high, or there will be loss in the performance, that could be obvious in a solar system of large number of panels. As a result a better way to check the solar cells is needed to make the performance better, especially in case of a large number of solar panels. In this paper, a study will be made about solar system consists of an array of solar panels and photovoltaic parameter in each of them. The main purpose is building a system which works on fault detection. This study depends on Smart Monitoring Device (SMD) sensors, which connected to each PV panel. These sensors collect the measurements periodically, and send them to an IoT central server, in order to detect the faults to correct them as soon as possible and improve the efficiency of solar panels. The results showed that the AC voltage from the applying the system of Solar Voltage 1when the fault occurs as the maximum is 30.62 V and average is 17.9 V while the Solar Voltage 2 as max is 31.05 V, and average is 18.15 V. The AC power consumed per unit time (0.1 seconds is 20.573 W to 0.8 seconds is 20.592 W. [ABSTRACT FROM AUTHOR]