A Power Electronic Controller Based Algorithm for Output Power Prediction of a PV Panel

The utilization of renewable energy sources, such as solar and wind power, has gained significant momentum in recent years due to concerns about the environmental impact of traditional fossil fuels and the desire for energy independence. Governments, organizations, and individuals around the world are investing in and implementing renewable energy systems at an increasing rate. One such issue is the uneven power generation in large solar panel farms, where different zones are affected by varying weather and sun irradiance conditions. This results in a disparity in power generation between zones. In order to address this problem, this paper proposes a solution of incorporating small PV panels that will act like a PV detector in each zone, which are affected by the same weather and irradiance conditions and have the same azimuth and tilt angles to estimate the output power of PV panels. The PV detector will be loaded to their maximum capacity using a Power Electronic Controller (PEC) of MPPT algorithms cascaded with a well-designed topology that maintain the MPPT is working at its maximum load in all cases. By comparing the instantaneous power generated and the maximum power that can be delivered by the PV detector to the PEC, the power of the zone can be accurately determined. In addition, to our MATLAB simulation that allow us to implement in real life our theory and being industry applicable with results approximately equal to results shown in MATLAB.