Wang, Jingbo, Wen, Jianfeng, Wu, Shaocong, Yang, Bo, Zeng, Pingliang and Jiang, Lin 
ORCID: 0000-0001-6531-2791
(2025)
Optimal Green Energy Harvesting for Hybrid Photovoltaic-thermoelectric Generator System via Chaotic RIME Optimizer: A TEchno-Environmental Assessment
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 10 (6).
pp. 63-80.
ISSN 2367-2617, 2367-0983
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Text
PCMP-2025-0004R2.pdf - Author Accepted Manuscript Available under License Creative Commons Attribution. Download (35MB) | Preview |
Abstract
This study develops a hybrid photovoltaic-thermoelectric generator (PV-TEG) system to reduce dependence on fossil fuels and promote sustainable energy generation. However, the inherent randomness of real-world operational environments introduces challenges such as partial shading conditions and uneven temperature distribution within PV and TEG modules. These factors can significantly degrade system performance and reduce energy conversion efficiency. To tackle these challenges, this paper proposes an advanced optimal power extraction strategy and develops a chaotic RIME (c-RIME) optimizer to achieve dynamic maximum power point tracking (MPPT) across varying operational scenarios. Compared with existing methods, this approach enhances the effectiveness and robustness of MPPT, particularly under complex working conditions. Furthermore, the study incorporates a comprehensive assessment framework that integrates both technical performance and sustainability considerations. A broader range of realistic operational scenarios are analyzed, with case studies utilizing onsite data from Hong Kong and Ningxia for technical and environmental evaluations. Simulation results reveal that the c-RIME-based MPPT technique can effectively enhance system energy output with smaller power fluctuations than existing methods. For instance, under startup testing conditions, the c-RIME optimizer achieves energy output increase by up to 126.67% compared to the arithmetic optimization algorithm.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Maximum power point trackers, Hybrid power systems, Optimization, Generators, Photovoltaic systems, Waste heat, Solar energy, Resistance, Numerical models, Integrated circuit modeling, Photovoltaic-thermoelectric generator system, optimal energy harvesting, partial shading conditions, rime optimization algorithm, maximum power extraction technique |
| Divisions: | Faculty of Science & Engineering Faculty of Science & Engineering > School of Electrical Engineering, Electronics and Computer Science |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 27 Aug 2025 07:38 |
| Last Modified: | 16 Jun 2026 20:24 |
| DOI: | 10.23919/PCMP.2025.000004 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3194160 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |
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