Performance comparison of thermoelectric generators with Extremum seeking control and incremental conductance MPPT methods

Twaha, Ssennoga; Zhu, Jie; Yan, Yuying

Abstract

Thermoelectric generators (TEGs) are used for converting heat into electricity, environmentally friendly, without moving parts and with less complexity. One of the problems with TEG is that it has low efficiency and therefore it is necessary to harvest maximum power from them to ensure their optimum utilization. Therefore, it is required to use the maximum power trackers (MPPTs) which for long time have demonstrated good performance in photovoltaic systems. The purpose of this work is to compare the performance of Extremum seeking control (ESC) algorithm with a classical incremental conductance (IC) method. Results indicate that ESC outperforms the IC technique in terms of extracting maximum power and the speed of computation. ESC method is faster than the IC method with simulation time of 152.1s and 781.8 s respectively. Moreover ESC is less complex in terms of model implementation than the IC method.

Citation

Twaha, S., Zhu, J., & Yan, Y. Performance comparison of thermoelectric generators with Extremum seeking control and incremental conductance MPPT methods. Presented at 16th International Conference on Sustainable Energy Technologies (SET2017)

• Conference Name: 16th International Conference on Sustainable Energy Technologies (SET2017)
• End Date: Jul 20, 2017
• Acceptance Date: Jun 6, 2017
• Publication Date: Jul 17, 2017
• Deposit Date: Aug 3, 2017
• Peer Reviewed: Peer Reviewed
• Keywords: Extremum seeking control; Incremental conductance; Thermoelectric generators; MPPT
• Public URL: https://nottingham-repository.worktribe.com/output/873010
• Contract Date: Aug 3, 2017