Maximum power Point Tracking control of thermoelectric generation system using extremum seeking control method
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 thermoe...
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| Format: | Article |
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MDPI
2017
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| Online Access: | https://eprints.nottingham.ac.uk/48449/ |
| _version_ | 1848797765500403712 |
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| author | Twaha, Ssennoga Zhu, Jie Maraaba, Luqman Huang, Kuo Li, Bo Yan, Yuying |
| author_facet | Twaha, Ssennoga Zhu, Jie Maraaba, Luqman Huang, Kuo Li, Bo Yan, Yuying |
| author_sort | Twaha, Ssennoga |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:09:05Z |
| format | Article |
| id | nottingham-48449 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:09:05Z |
| publishDate | 2017 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-484492020-05-04T19:20:57Z https://eprints.nottingham.ac.uk/48449/ 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 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. MDPI 2017-12-01 Article PeerReviewed Twaha, Ssennoga, Zhu, Jie, Maraaba, Luqman, Huang, Kuo, Li, Bo and Yan, Yuying (2017) Maximum power Point Tracking control of thermoelectric generation system using extremum seeking control method. Energies, 10 . pp. 1-18. ISSN 1996-1073 Thermoelectric generators; Perturb and observe; MPPT algorithms; Extremum seeking control http://www.mdpi.com/1996-1073/10/12/2016 doi:10.3390/en10122016 doi:10.3390/en10122016 |
| spellingShingle | Thermoelectric generators; Perturb and observe; MPPT algorithms; Extremum seeking control Twaha, Ssennoga Zhu, Jie Maraaba, Luqman Huang, Kuo Li, Bo Yan, Yuying Maximum power Point Tracking control of thermoelectric generation system using extremum seeking control method |
| title | Maximum power Point Tracking control of thermoelectric generation system using extremum seeking control method |
| title_full | Maximum power Point Tracking control of thermoelectric generation system using extremum seeking control method |
| title_fullStr | Maximum power Point Tracking control of thermoelectric generation system using extremum seeking control method |
| title_full_unstemmed | Maximum power Point Tracking control of thermoelectric generation system using extremum seeking control method |
| title_short | Maximum power Point Tracking control of thermoelectric generation system using extremum seeking control method |
| title_sort | maximum power point tracking control of thermoelectric generation system using extremum seeking control method |
| topic | Thermoelectric generators; Perturb and observe; MPPT algorithms; Extremum seeking control |
| url | https://eprints.nottingham.ac.uk/48449/ https://eprints.nottingham.ac.uk/48449/ https://eprints.nottingham.ac.uk/48449/ |