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

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 200?C. 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