Maximum Power Extraction Control Algorithm for Hybrid Renewable Energy System

In this research, a modified fractional order proportional integral derivate (FOPID) control method is proposed for the photovoltaic (PV) and thermo-electric generator (TEG) combined hybrid renewable energy system. The faster tracking and steady-state output are aimed at the suggested maximum power point tracking (MPPT) control technique. The derivative order number (mu) value in the improved FOPID (also known as (PID mu)-D-lambda) control structure will be dynamically updated utilizing the value of change in PV array voltage output. During the transient, the value of mu is changeable; it's one at the start and after reaching the maximum power point (MPP), allowing for strong tracking characteristics. TEG will use the freely available waste thermal energy created surrounding the PV array for additional power generation, increasing the system's energy conversion efficiency. A high-gain DC-DC converter circuit is included in the system to maintain a high amplitude DC input voltage to the inverter circuit. The proposed approach's performance was investigated using an extensive MATLAB software simulation and validated by comparing findings with the perturbation and observation (P & O) type MPPT control method. The study results demonstrate that the FOPID controller-based MPPT control outperforms the P & O method in harvesting the maximum power achievable from the PV-TEG hybrid source. There is also a better control action and a faster response.