Automatic and Self Adaptive P&O MPPT Based PID Controller and PSO Algorithm

This paper presents a study on the enhancement of the Maximum Power Point Tracking algorithm named: Perturb and Observe (P&O). The introduced techniques deal with the weaknesses of this algorithm, especially when high changes or oscillations occur around the Maximum Power Point (MPP). To this end, a proportional-integral-derivative (PID) controller optimized by the particle swarm algorithm (PSO) is used to conceive an automatic and self-adaptive P&O algorithm for maximum power extraction from the HZ-20 Thermo Electrical Generator (TEG) module feeding a resistive load via a DC-DC converter. The introduced work is developed in the MatLab/Simulink environment. The obtained results are presented in terms of a comparative study between the two most known hybridization structures of the PID controller and the P&O algorithm.