Dual Axis Solar Tracking Pv-Teg Hybrid System Based on Cuckoo Search Mppt-Cc-Cv Algorithm

Photovoltaic thermoelectric (PV-TE) is a hot way to expand the range of photoelectric conversion spectra and improve the efficiency of solar power generation. However, the fluctuation of energy input and the coupling characteristics of dual modules seriously affect the photovoltaic output performance and efficiency. This work proposes an innovative strategy for the high-performance and stable output of photovoltaic thermoelectric generator (PV-TEG) hybrid systems in practical environmental applications. Confronting the challenge that conventional Maximum Power Point Tracking (MPPT) cannot fully address the instability of output power in PV-TEG hybrid systems, this strategy integrates a dual axis solar tracking (DAST) device with the MPPT algorithm. This integration enhances both the magnitude and stability of the input irradiance. The automatic sun-tracking device employs an attitude control algorithm based on a closed-loop Proportional-Integral-Derivative (PID) system, which has enhanced the control precision. In terms of energy management, the paper integrates an optimized MPPT algorithm based on Cuckoo Search with a Constant Current-Constant Voltage (CC-CV) storage strategy. A synchronous buck converter circuit is employed significantly to reduce control losses. Experimental results demonstrate that under load disturbances, the system's input-output efficiency reached 98.93%. In five sets of all-day comparative experiments, the DAST based on MPPT for PV-TEG outperformed the traditional 45° fixed-panel PV-TEG hybrid system by increasing the power output by 37.77%. This enhancement resulted in an additional energy production of 127,447.8 Joules over the course of a day, achieving a 39.8% improvement in energy accumulation.