Wang, Jingbo, Li, Yulin, Yang, Bo and Jiang, Lin 
ORCID: 0000-0001-6531-2791
(2024)
Multi-optimized reconfiguration of hybrid photovoltaic-thermoelectric generation (PV-TEG) system for performance enhancement.
Energy Conversion and Management, 307.
p. 118373.
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ECM_PV-TEG MPPT_submission.pdf - Author Accepted Manuscript Available under License Creative Commons Attribution. Download (4MB) | Preview |
Abstract
This study designs a hybrid photovoltaic-thermoelectric generation (PV-TEG) system, aimed at achieving an efficient photo-thermal-electrical energy conversion. However, dynamically varying real-world environmental conditions frequently lead to partial shading conditions (PSCs) and non-uniform thermal distribution (NTD), which adversely affect the system's output characteristics, resulting in power loss and compromised operation reliability. To alleviate the mismatch effects caused by PSCs and enhance the output power of hybrid PV-TEG systems while maintaining the electrical connections intact, array reconfiguration is a desirable solution. However, existing research on PV-TEG system reconfiguration only focuses on maximizing power output, neglecting the importance of service life and control complexity of switching devices. To bridge this gap, this study proposes a multi-optimized PV-TEG reconfiguration strategy based on the devised chaos-driven dynamical interactive whale optimization algorithm (CDI-WOA), aiming at simultaneously improving the power output while minimizing unnecessary switching actions to prolong the service life of switching devices. Case studies are carried out using two commonly utilized scales of array configuration in engineering, i.e., 6x6 and 6x10 arrays under ten different PSC patterns for systematic validation. Five evaluation indicators are employed for a more comprehensive performance evaluation than prior work, the results demonstrate that CDI-WOA based reconfiguration can increase the maximum power output by 28.24% and 32.02% for 6x6 and 6x10 arrays compared with that without reconfiguration, respectively.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 7 Affordable and Clean Energy |
| Divisions: | Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 15 Apr 2024 13:24 |
| Last Modified: | 02 May 2024 17:39 |
| DOI: | 10.1016/j.enconman.2024.118373 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3180341 |
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