针对温差发电系统在非均匀温度条件下存在的多峰值功率跟踪问题,提出一种改进蜜獾算法（IHBA）与恒定电压法（CVT）相结合的混合控制策略。在Matlab/Simulink平台搭建仿真模型,测试结果表明：恒温条件下跟踪精度达98.9%,响应时间0.04 s;动态温度变化及负载突变工况下平均响应时间小于0.05 s。实物测试验证算法在温度恒定条件下的实用性,跟踪精度达99.3%且无超调。相比传统CVT、粒子群优化算法（PSO）等方法,该方法在跟踪精度、响应速度、稳定性和鲁棒性方面均表现出显著优势。
Abstract
To address the multi-peak power tracking problem of thermoelectric generation systems under non-uniform temperature conditions, a hybrid control strategy combining an improved honey badger algorithm （IHBA） with constant voltage tracking （CVT） is proposed. A simulation model is built on the Matlab/Simulink platform. Test results show that the tracking accuracy is 98.9% and the response time is 0.04 seconds under constant temperature conditions. The average response time under dynamic temperature change and sudden load mutation conditions is less than 0.05 seconds. Physical tests verify the practicality of the algorithm under constant temperature conditions, and the tracking accuracy reaches 99.3% without overshoot. Compared with traditional methods such as CVT and PSO, this approach demonstrates significant advantages in tracking accuracy, response speed, stability, and robustness.
关键词
温差发电 /
最大功率点跟踪 /
蜜獾算法 /
恒定电压法 /
Tent混沌映射 /
精英反向学习
Key words
thermoelectric generation /
maximum power point tracking （MPPT） /
honey badger algorithm /
constant voltage tracking （CVT） /
Tent chaotic mapping /
elite opposition-based learning
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基金
国家自然科学基金（U1804149）; 2025年度河南省高等学校重点科研项目（25B120003）
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