上海交通大学学报

上海交通大学学报

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温差发电器最大功率点跟踪的协同仿真与验证

  

  1. 1. 华北水利水电大学 电气工程学院，郑州 450045；2. 华北水利水电大学 电子工程学院，郑州 450046

  • 作者简介:

    刘新宇（1976—），教授，从事复杂系统建模及智能控制技术研究。 电话（Tel.）：0371-69127641；E-mail：lxy@ncwu.edu.cn

  • 基金资助:
    国家自然科学基金（U1804149）资助项目

Co - Simulation and Verification of Maximum Power Point Tracking Control for Thermoelectric Generators

  1. 1. College of Electrical Engineering, North China University of Water Resources and Electric Power, ZhengZhou 450045, China；2. School of Electronic Engineering, North China University of Water Resources and Electric Power, ZhengZhou 450046, China

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摘要： 针对温差发电系统（TEG）最大功率点跟踪（MPPT）中传统控制算法易陷入局部最优及动态响应超调等问题，提出一种增强型哈里斯鹰混合优化算法（GEG-HHO）。通过建立Bi-Sb-S基温差发电器仿真与实测模型，对比分析恒定电压法（CVT）、樽海鞘群算法（SSA）、标准哈里斯鹰算法（HHO）与GEG-HHO在热端温度恒定工况、热端温度发生突变和模块数量发生突变下的跟踪性能。结果表明：在三种工况条件下，GEG-HHO在0.052±1s内都可进入稳定状态，平均跟踪精度达98.27%，无震荡超调现象，相较于对比算法其功率振荡抑制能力显著提升，提高动态响应速度。

关键词: 温差发电, 最大功率跟踪, 增强型哈里斯鹰优化, 温度阶跃

Abstract:

Aiming at the problems of traditional control algorithms in maximum power point tracking (MPPT) for thermoelectric generation systems (TEG), such as easy trapping in local optima and overshoot in dynamic response, an enhanced Harris Hawk hybrid optimization algorithm (GEG-HHO) is proposed. By establishing simulation and experimental models of Bi-Sb-S based thermoelectric generators, the tracking performances of Constant Voltage Tracking (CVT), Salp Swarm Algorithm (SSA), standard Harris Hawk Optimization (HHO), and GEG-HHO are compared and analyzed under the conditions of constant hot-end temperature、sudden mutation of hot-end temperature and Sudden Change in Module Quantity. The results show that under both working conditions, GEG-HHO can enter a stable state within 0.052±1s, with an average tracking accuracy of 98.27%, and there is no oscillation or overshoot. Compared with the comparative algorithms, its power oscillation suppression capability is significantly improved, and the dynamic response speed is enhanced.

Key words: thermoelectric generation(TEG）, maximum power point tracking（MPPT）, enhanced Harris hawk optimization algorithm(GEG-HHO), temperature step

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