Performance Analysis of Neural Network Modelled Grid Connected Thermo Electric Generator with MPPT

The simulation, design, and modelling of a hybrid nonconventional (renewable) solar photovoltaic and Thermo Electric Generator power generation system are presented in this paper. The major intentional device, based on predicted-P&O and connected to an MPPT controller, DC/AC converter, and three phase loads, is the solar electric generator. In hot climates, where the PV system's inherent qualities are gradually and prematurely degraded, resulting in a drop in lifetime and efficiency due to thermal fatigue induced by excessive heating of the cells by sun infrared radiation, STEG has the potential to become a competitive alternative technology to the prevalent solar photovoltaic systems. For PV conversion, this is unsuccessful. I modeled the thermo electric generator with a neural network. For this I take set of readings from the hardware. Set the cold side constant and take different hot side temperature. Power tabulated the voltage and current corresponding to it. Thermo electric generator model is also connected to the solar power, how to connect wind power. The major goal is to lower the temperature and improve the solar panel's efficiency. In foreign countries thermo electric generator generated power is connected to the power grid.