Zhou, L, Yang, B, Zhou, S, Li, H, Gao, D, Lie, TT and Jiang, L 
ORCID: 0000-0001-6531-2791
(2026)
Momentum vectorized adaptive DDPG-based PSC mitigator design for hybrid PV-TEG systems with auxiliary battery participation
Global Energy Interconnection, 9 (3).
pp. 437-470.
ISSN 2096-5117, 2590-0358
Abstract
Partial shading conditions (PSC) significantly reduce the efficiency of photovoltaic (PV) systems by causing uneven irradiation and mismatched power losses. To address this, this study proposes a novel momentum vectorized adaptive deep deterministic policy gradient (MVA-ADDPG) algorithm for hybrid PV-thermoelectric generation (PV-TEG) systems. The PV-TEG system integrates thermoelectric generators with PV modules to capture waste heat and uses intelligent energy storage coordination to reduce temperature sensitivity and improve system stability. Unlike conventional PV-energy storage systems, which suffer from high energy losses and maintenance costs, the proposed MVA-ADDPG-driven PV-TEG system employs a triple-action heuristic exploration strategy. It combines momentum-accelerated policy gradients with dynamic exploration–exploitation balance. At each step, three candidate actions are evaluated, generated through both heuristic and gradient-based approaches., This enables fine-grained optimization of battery distribution and system performance. Experimental validation on 6 × 4 to 6 × 6 PV-TEG arrays show an average power increase of 26.5% and a mismatch loss reduction of 45.2%. The method achieves fast convergence and maintains reliable performance under varying shading conditions. By recovering waste heat and optimizing cell compensation, the proposed approach extends system lifespan, and enhances economic viability. It offers a robust solution for efficient energy management in complex PV environments.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 40 Engineering, 4008 Electrical Engineering, 4009 Electronics, Sensors and Digital Hardware, 7 Affordable and Clean Energy |
| Divisions: | Faculty of Science & Engineering Faculty of Science & Engineering > School of Engineering Faculty of Science & Engineering > School of Engineering > Electrical Engineering and Electronics |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 23 Apr 2026 09:43 |
| Last Modified: | 14 Jul 2026 16:11 |
| DOI: | 10.1016/j.gloei.2026.01.003 |
| Open Access URL: | https://www.sciencedirect.com/science/article/pii/... |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3198108 |
| 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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