A Hybrid Maximum Power Point Tracking (MPPT) for Thermoelectric Generator (TEG) System

Thermoelectric generators (TEG) convert heat energy into electricity in a quantity dependent on the temperature difference across them and the electrical load applied. It is critical to track the optimum electrical operating point using power electronic converters controlled by a maximum power point tracking (MPPT) algorithm. In this paper, a hybrid MPPT for perturb and observation (P&O) and open-circuit method (OCV) are proposed to compare with the conventional direct method for P&O and OCV methods, respectively. This research is initiated by modelling TEG system using MPPT algorithm with P&O method and OCV method using MATLAB/Simulink software. Then, it is followed by modelling a hybrid MPPT for both methods. In addition, a boost converter having this MPPT algorithm was added to the TEG modelling system. Every modelled system will be analysed and compared in the percentage of power transferred and response time. As conclusion, P&O method responds poorly to a fast-changing operating condition, and OCV method suffers disadvantages such as temporary power loss. The proposed hybrid method results in a very fast-tracking speed and the energy losses are improved compared to conventional direct method.