Abstract:
improving the energy harvesting system is requiring an efficient MPPT algorithm
which has the ability to track the optimum power under steady state and dynamic state.
in this paper, incremental conductance MPPT was enhanced by using Kalman filter
which readjusts the characteristic of the thermoelectric generator. The need of an
efficient MPPT arises due to the presence of power mismatch under a various
temperature gradient. this mismatching appears due to the distribution of the heat on
the thermoelectrical generator surfaces. Experimentally, the influence of Kalman filter
on the energy harvesting system was investigated. The efficiency of the enhanced
incremental conductance algorithm was compared to the conventional incremental
conductance algorithm under various temperature difference.
