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基于改进Jaya算法的光伏最大功率追踪控制

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针对光伏阵列在局部阴影或者光照不均匀情况下,追踪最大输出功率收敛慢、精度低的问题,提出一种改进Jaya算法的光伏最大功率跟踪控制策略.其无需依赖特定的算法控制参数,并引入收敛因子和自适应迭代次数等策略,进一步提升算法的收敛速度和精度.在MAT-LAB/Simulink中搭建光伏阵列仿真模型,将改进Jaya算法与传统追踪算法在同一模型下进行对比分析,结果表明,改进后的Jaya算法在复杂光照条件下具有更快的追踪速度与更高的精度,能够提高光伏系统的发电效率.
Control of Maximum Photovoltaic Power Tracking Based on Improved Jaya Algorithm
To address the issues of slow convergence and low accuracy in tracking the maximum output power of photovoltaic arrays under local shadows or uneven illumination conditions,an improved Jaya algorithm based photovoltaic maximum power point tracking(MPPT)control strategy is proposed.This strategy does not rely on specific algorithm control parameters and incorporates strategies such as convergence factors and adaptive itera-tion times to further enhance the convergence speed and accuracy of the algorithm.A PV array simulation model is constructed in MATLAB/Simulink,and the improved Jaya algorithm is comparatively analyzed with the tradi-tional tracking algorithm under the same model.The results demonstrate that the improved Jaya algorithm exhibits faster tracking speed and higher accuracy under complex lighting conditions,thereby enhancing the power gener-ation efficiency of the PV system.

local shadowsphotovoltaic arraymaximum power point tracking(MPPT)Jaya algorithm

林倚丞

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中国安能集团第二工程局有限公司,江西 南昌 330001

局部阴影 光伏列阵 最大功率点追踪 Jaya算法

2024

许昌学院学报
许昌学院

许昌学院学报

影响因子:0.196
ISSN:1671-9824
年,卷(期):2024.43(5)