基于权重因子改进型tanh函数的光伏MPPT算法

李平; 毛阗; 徐鉴其

doi:10.19912/j.0254-0096.tynxb.2024-0995

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (10) : 373-380. DOI: 10.19912/j.0254-0096.tynxb.2024-0995

基于权重因子改进型tanh函数的光伏MPPT算法

李平^1,2, 毛阗^1,2, 徐鉴其^1,2

作者信息 +

PHOTOVOLTAIC MPPT ALGORITHM BASED ON WEIGHT FACTOR IMPROVED tanh FUNCTION

Li Ping^1,2, Mao Tian^1,2, Xu Jianqi^1,2

Author information +

文章历史 +

摘要

根据光伏功率-电压曲线的特点,对最大功率点两侧采用不同的自适应步长扰动观察最大功率点跟踪算法：对右侧采用基于tanh函数的自适应步长算法,对左侧采用基于权重因子改进型tanh函数的自适应步长算法。通过仿真分析及硬件试验,验证所提出的基于权重因子改进型tanh函数的自适应步长扰动观察最大功率点跟踪算法的可行性和优越性。仿真分析和硬件试验结果表明：基于权重因子改进型tanh函数的自适应步长扰动观察最大功率点跟踪算法在辐照度和温度变化场景下均具有较好的跟踪速度和精度,能为光伏系统高效稳定的输出功率提供保障。

Abstract

According to the characteristics of the PV power-voltage curve, different adaptive step-size perturbation observation maximum power point tracking algorithms are used on both sides of the maximum power point： the adaptive step-size algorithm based on tanh function is used for the right side, and the adaptive step-size algorithm based on the improved tanh function based on weight factor is used for the left side. The feasibility and superiority of the proposed adaptive step-size perturbation observation maximum power point tracking algorithm based on the weight factor improved tanh function are verified through simulation analysis and hardware tests. The simulation analysis and hardware test results show that the adaptive step-size perturbation observation maximum power point tracking algorithm based on the improved tanh function of the weight factor has better tracking speed and accuracy in both irradiance and temperature change scenarios, which can provide efficient and stable power output of the PV system.

导出引用

李平, 毛阗, 徐鉴其. 基于权重因子改进型tanh函数的光伏MPPT算法[J]. 太阳能学报. 2024, 45(10): 373-380 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0995

Li Ping, Mao Tian, Xu Jianqi. PHOTOVOLTAIC MPPT ALGORITHM BASED ON WEIGHT FACTOR IMPROVED tanh FUNCTION[J]. Acta Energiae Solaris Sinica. 2024, 45(10): 373-380 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0995

中图分类号： TM615

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