Enhancing Photovoltaic Panel Performance Through Artificial Neural Network and Maximum Power Point Tracking

The fast expansion of renewable energy sources, particularly photovoltaic (PV) panels, has become critical in meeting the world's rising energy needs while also addressing environmental issues.An effective control technique is a factor worth consideration to achieve enough power from PV panels.This abstract summarizes in detail the use of maximum power point tracking (MPPT) and Artificial Intelligence-based technologies for achieving better performances of PV systems Firstly we will analyze the techniques of MPPT and artificial neural network (ANN) that are the best choices for high-quality power and considerations on the discussion will be put forward.The precision of determining the current, voltage, and power gradients has been accentuated by artificial intelligence to predict solar radiation within a close range of the true value.With the in-crease in the radiations, the corresponding current values go up too.In turn, voltage values increase as well as the power values.The AI system is the better watchdog as op-posed to traditional methods to temperature ambient.Now temperature change begins to adversely affect these factors.The given chart shows that current values start to decrease drastically from 25℃ of temperature.Then at 65℃ one of the power value drops to 175V and then to 16000W.The optimum power value is 16800W at 65℃.AI is also smart to determine the best possible current, voltage.