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引用次数: 0

摘要

具有旁路二极管串联的多个电池的光伏阵列在不均匀辐照下可能出现多个功率峰值,因此需要一种达到全局最大功率点(GMPP)的算法。虽然文献中已经提出了许多GMPP跟踪方法,但对于在部分遮阳和大约100ms的快速变化照射条件下运行的1-100W左右的系统来说,它们太复杂了。本文首先利用MATLAB对光伏阵列进行了快速高效的数学仿真,得到了多种辐照条件下不同温度下GMPP的概率分布。在等概率假设和实际工作条件下,给出了4个PV宏电池与4个旁路二极管串联的示例GMPP分布。根据得到的结果,我们模拟了一个简单的GMPPT算法,该算法能够预测两个分布的GMPP位于哪个区域,准确率高达96%。
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Probability distribution of GMPP under different irradiation and temperature conditions for GMPP tracking algorithm
A photovoltaic (PV) array having multiple cells in series with bypass diodes may exhibit multiple power peaks under uneven irradiation, therefore an algorithm is required to reach the global maximum power point (GMPP). While a lot of methods for GMPP tracking have been proposed in the literature, they are too complex for a system around 1–100W operating under partial shading and fast-varying irradiation conditions of around 100ms. This paper first highlights a rapid and efficient mathematical simulation of the PV array using MATLAB to find the probability distribution of GMPP under multiple irradiation conditions and different temperatures. The resulting GMPP distribution for an example of 4 PV macro cells with 4 bypass diodes in series is presented, both under the assumption of equal probability as well as a real-world operating condition. From the obtained result, we simulated a simple GMPPT algorithm capable of predicting which zone GMPP is located up to 96% of the time for both distributions.
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