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An intelligent reconfiguration approach based on fuzzy partitioning in PV arrays

机译:一种基于PV阵列模糊分区的智能重新配置方法

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摘要

The reconfiguration process in photovoltaic (PV) arrays is very important to obtain maximum power under partial shading conditions. Connection architecture of array for this process is changed according to status of non-uniform shadows. However, finding of best connection in big PV arrays is hard in real-time. In this paper, a new efficient and intelligent reconfiguration approach based on partitioning of array is proposed. The proposed approach is aimed to search best connection from possible connections in several small-sized array partitions obtained with decomposing according to location of shadows to carry out control task. Thus, search space of possible connections is considerably reduced for using in real time implementation of reconfiguration process in big size PV arrays. Efficiency, accuracy, and performance proposed reconfiguration approach has been verified for different size and shading conditions with comparative simulation results.
机译:光伏(PV)阵列中的重新配置过程非常重要,无法在局部阴影条件下获得最大功率。根据非均匀阴影状态更改此过程的数组的连接架构。但是,在大型光伏阵列中找到最佳连接实时很难。在本文中,提出了一种基于阵列分区的新的高效和智能重新配置方法。所提出的方法旨在根据通过阴影位置进行分解以执行控制任务而获得的几个小型阵列分区中的可能连接中的最佳连接。因此,在大尺寸PV阵列中实时实现,可能连接的可能连接的搜索空间显着减少。验证了具有比较仿真结果的不同尺寸和阴影条件的效率,准确性和性能提出的重新配置方法。

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