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Research on Improved Heuristic MPPT Method in Multi-peak Thermoelectric System
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Peng LI1, Hao LI1, Wenchao ZHU1, 2, 3, Changjun XIE1, 3
Journal of Power Supply | 2026, 24(5) : 168 - 179
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Journal of Power Supply | 2026, 24(5): 168-179
• Renewable Energy Generation and Energy Storage •
Research on Improved Heuristic MPPT Method in Multi-peak Thermoelectric System
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Peng LI1, Hao LI1, Wenchao ZHU1, 2, 3, Changjun XIE1, 3
Affiliations
  • 1.School of Automation, Wuhan University of Technology, Wuhan 430070, China
  • 2.State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan 430070, China
  • 3.Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan 430070, China
Published: 2026-05-30 doi: 10.13234/j.issn.2095-2805.2026.5.168
Outline
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The centralized thermoelectric system exhibits multi-peak characteristics under non-uniform temperature distribution (NUTD). Based on the problem that traditional maximum power point tracking (MPPT) methods are prone to falling into local maximum power point (LMPP) and existing metaheuristic algorithms suffer from energy loss due to long search times caused by imbalanced search capabilities during exploration and exploitation phases, an improved hunter-prey optimization (IHPO) algorithm is proposed. This algorithm relies on the clear exploration and exploitation phases search capability mechanism of standard hunter-prey optimization (HPO) algorithm, and improves the original mechanism for multi-peak characteristics, reducing the large amplitude oscillation caused by frequent random jumps of the algorithm itself while quickly tracking the global maximum power point (GMPP). Based on the centralized thermoelectric system model, IHPO algorithm is simulated and compared with perturbation and observation (P&O) method, particle swarm optimization algorithm (PSO), improved PSO (IPSO) and standard HPO under different operating conditions. The results show that the proposed algorithm can quickly and accurately track GMPP under NUTD, significantly reduce the oscillation of the tracking process, and improve energy output by up to 21.8%. The IHPO algorithm can effectively solve the multi-peak problem of centralized thermoelectric systems.

Thermoelectric generator  /  maximum power point tracking  /  hunter-prey optimization algorithm  /  termination mechanism and restart mechanism
李鹏, 李浩, 朱文超, 谢长君. 多峰值热电系统下改进启发式MPPT方法研究. 电源学报, 2026 , 24 (5) : 168 -179 . DOI: 10.13234/j.issn.2095-2805.2026.5.168
Peng LI, Hao LI, Wenchao ZHU, Changjun XIE. Research on Improved Heuristic MPPT Method in Multi-peak Thermoelectric System[J]. Journal of Power Supply, 2026 , 24 (5) : 168 -179 . DOI: 10.13234/j.issn.2095-2805.2026.5.168
Funding
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  • General Program of National Natural Science Foundation of China(51977164)
Appendix
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Year 2026 volume 24 Issue 5
46
10
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Article Info
doi: 10.13234/j.issn.2095-2805.2026.5.168
  • Receive Date：2024-01-04
  • Online Date：2026-10-29
  • Published：2026-05-30
Article Data
Affiliations
History
  • Received：2024-01-04
  • Revised：2024-04-24
  • Accepted：2024-05-01
Funding
General Program of National Natural Science Foundation of China(51977164)
Affiliations
    1.School of Automation, Wuhan University of Technology, Wuhan 430070, China
    2.State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan 430070, China
    3.Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan 430070, China
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