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

Twaha, Ssennoga and Zhu, Jie and Yan, Yuying (2017) Performance comparison of thermoelectric generators with Extremum seeking control and incremental conductance MPPT methods. In: 16th International Conference on Sustainable Energy Technologies (SET2017), 17-20 July, 2017, Bologna, Italy.

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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.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/873010
Keywords: Extremum seeking control; Incremental conductance; Thermoelectric generators; MPPT
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Architecture and Built Environment
Depositing User: Eprints, Support
Date Deposited: 03 Aug 2017 15:10
Last Modified: 04 May 2020 18:55
URI: http://eprints.nottingham.ac.uk/id/eprint/44647

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