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SoC implementation of a photovoltaic reconfiguration algorithm by exploiting a HLS-based architecture

机译:利用基于HLS的架构实现光伏重新配置算法的SoC实现

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The dynamic reconfiguration of photovoltaic arrays is a promising technique for reducing the power drops due to partial shadowing. Some approaches for determining the optimal electrical configuration of the photovoltaic array have been presented in literature. The most encouraging solution is based on the use of stochastic algorithms that can be fruitfully implemented in a system on chip. The computation time takes profit from the available field programmable gate array fabric, where multiple instances of the fitness function can be run in parallel. The use of Vivado High Level Synthesis, to create a Register Transfer Level implementation from C/C++ sources, allows achieving satisfactory results. Coding the algorithm by taking into account the synthesis process, thus resource allocation, scheduling and binding, helps in obtaining a further performance improvement. In this paper a High Level Synthesis approach is used for the systematic exploration of the possible architectures that can be used for implementing the reconfiguration algorithm. Some solutions that differ in terms of computation time and hardware resources used are compared. The target system on chip is a low cost one from Xilinx. (C) 2019 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
机译:光伏阵列的动态重新配置是一种有前途的技术,可以减少由于部分阴影引起的功率下降。在文献中已经提出了用于确定光伏阵列的最佳电配置的一些方法。最令人鼓舞的解决方案是基于随机算法的使用,该算法可以在片上系统中实现。计算时间从可用的现场可编程门阵列结构中获利,在该结构中,适应度函数的多个实例可以并行运行。使用Vivado高级综合从C / C ++源创建寄存器传输级实现,可以实现令人满意的结果。通过考虑综合过程对算法进行编码,因此资源分配,调度和绑定有助于获得进一步的性能提升。在本文中,高级综合方法​​用于系统探索可能的架构,这些架构可用于实现重新配置算法。比较了一些计算时间和所用硬件资源不同的解决方案。片上目标系统是Xilinx的低成本系统。 (C)2019国际模拟数学与计算机协会(IMACS)。由Elsevier B.V.发布。保留所有权利。

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