文件名称:MPPT
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- 上传时间:
- 2013-11-27
- 文件大小:
- 592kb
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- 0次
- 提 供 者:
- dingx******
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光伏阵列受到局部阴影遮蔽时其}-v特性会呈现多峰特性,出现多个局部峰值。为了避免传统最大功率点跟踪算法在此情况卜难以找到全局的最大功率点,文章提出了一种优化最大功率点跟踪算法,该算法适用于局部和全局阴影发生的情况、在局部阴影情况卜,通过MATLAB仿真和样机试验与传统最大功率点跟踪算法相比,该优化算法能够判断阴影遮蔽情况是否发生,在局部和全局均一阴影的情况卜都能够跟踪到全局最大功率点避兔光伏阵列的功率损失提高光伏系统效率
-PV array by the partial shadowing its}-v characteristics are presented multimodal features, there are a number of local peaks. In order to avoid the maximum power point tracking algorithm in this case is difficult to find the global BU maximum power point, the article presents an optimized maximum power point tracking algorithm, which applies to the situation of local and global shadow occur in partial shade situation Bu, compared by MATLAB simulation and prototype testing with the traditional maximum power point tracking algorithm, the optimization algorithm can determine whether shadowing occurs in the case of local and global uniform shadow BU are able to track the maximum power point of the global PV array power to avoid rabbit improve the efficiency of photovoltaic systems loss
-PV array by the partial shadowing its}-v characteristics are presented multimodal features, there are a number of local peaks. In order to avoid the maximum power point tracking algorithm in this case is difficult to find the global BU maximum power point, the article presents an optimized maximum power point tracking algorithm, which applies to the situation of local and global shadow occur in partial shade situation Bu, compared by MATLAB simulation and prototype testing with the traditional maximum power point tracking algorithm, the optimization algorithm can determine whether shadowing occurs in the case of local and global uniform shadow BU are able to track the maximum power point of the global PV array power to avoid rabbit improve the efficiency of photovoltaic systems loss
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