首页|基于权重因子改进型tanh函数的光伏MPPT算法

基于权重因子改进型tanh函数的光伏MPPT算法

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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.
PHOTOVOLTAIC MPPT ALGORITHM BASED ON WEIGHT FACTOR IMPROVED tanh FUNCTION
According to the characteristics of the PV power-voltage curve,different adaptive step-size perturbation observation maxi-mum 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 al-gorithm based on the improved tanh function of the weight factor has better tracking speed and accuracy in both irradiance and tempera-ture change scenarios,which can provide efficient and stable power output of the PV system.

maximum power point trackingperturbation observation methodadaptive step sizeweight factortanh function

李平、毛阗、徐鉴其

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浙江大学建筑设计研究院有限公司,杭州 310028

浙江大学平衡建筑研究中心,杭州 310028

最大功率点跟踪 扰动观察法 自适应步长 权重因子 tanh函数

浙江省科技厅"尖兵领雁+X"研发攻关计划项目浙江省建设厅建设科研项目浙江大学平衡建筑研究中心科研项目

2024C032472021K217RD49

2024

太阳能学报
中国可再生能源学会

太阳能学报

CSTPCD北大核心
影响因子:0.392
ISSN:0254-0096
年,卷(期):2024.45(10)