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Maximum power Point Tracking control of thermoelectric generation system using extremum seeking control method

Twaha, Ssennoga; Zhu, Jie; Maraaba, Luqman; Huang, Kuo; Li, Bo; Yan, Yuying

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Authors

Ssennoga Twaha

Luqman Maraaba

Kuo Huang

Bo Li

YUYING YAN YUYING.YAN@NOTTINGHAM.AC.UK
Professor of Thermofluids Engineering



Abstract

This study proposes and implements maximum power Point Tracking (MPPT) control on thermoelectric generation system using extremum seeking control (ESC) algorithm. The MPPT is applied to guarantee maximum power extraction from the TEG system. The work has been carried out through modelling of thermoelectric generator/dc-dc converter system using Matlab/Simulink. The effectiveness of ESC technique has been assessed by comparing the results with those of the Perturb and observe (P&O) MPPT method under the same operating conditions. Results indicate that ESC MPPT method extracts more power than P&O technique, where the output power of ESC technique is higher than that of P&O by 0.47 W or 6.1% at a hot side temperature of 200⁰C. It is also noted that the ESC MPPT based model is almost fourfold faster than the P&O method. This is attributed to smaller MPPT circuit of ESC compared to that of P&O. Hence, ESC MPPT method outperforms the P&O technique.

Citation

Twaha, S., Zhu, J., Maraaba, L., Huang, K., Li, B., & Yan, Y. (2017). Maximum power Point Tracking control of thermoelectric generation system using extremum seeking control method. Energies, 10, https://doi.org/10.3390/en10122016

Journal Article Type Article
Acceptance Date Nov 28, 2017
Publication Date Dec 1, 2017
Deposit Date Nov 30, 2017
Publicly Available Date Dec 1, 2017
Journal Energies
Electronic ISSN 1996-1073
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 10
DOI https://doi.org/10.3390/en10122016
Keywords Thermoelectric generators; Perturb and observe; MPPT algorithms; Extremum seeking control
Public URL https://nottingham-repository.worktribe.com/output/898443
Publisher URL http://www.mdpi.com/1996-1073/10/12/2016
Contract Date Nov 30, 2017

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