Enhancing the Performance of the INC Algorithm using Kalman Filter for Thermoelectric Energy Harvesting System (THES)

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.