FPGA based efficiency improvement of renewable integrated power system using advance power tracking algorithm

This article presents a new Optimum Power Tracker based on FPGA for photovoltaic (PV) systems. To ensure fast-tracking and obtain good precision, the established method aims to change and observe, thus retaining the quality of efficiency and high complexity. Besides, multiple intelligent functions are made to enable the device to automatically start the sun tracking feature during the day and eventually return to its original location at night. To minimize the electrical energy used by the motor in rotation, this has a delay feature. Further, as important decisions are made, this can be easily converted to dual, and one sun monitoring and the solar array tilt could be managed directly. The MPPT uses fuzzy logic to adjust the proposed control system’s step duration to correct the normally fixed stage mechanism faults and allow the solar array’s performance to reach full power quickly and stably. An automatic and intelligent two-step switcher is implemented to perform this enhancement and integrate FIR filters for inputs. A high sampling rate, therefore, is obtained, and the monitoring rate is therefore increased. MATLAB calculations and the Xilinx FPGA implementations’ findings indicate that now the improved solution achieves a less complex efficiency, quite similar to the previously released MPPT approaches.