部分遮阳条件下基于PSO的光伏系统MPPT的FPGA实现

Karim Kaced, C. Larbes, S. Chikh, M. Bounabi, Z. Dahmane
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引用次数: 10

摘要

本文提出了一种现场可编程门阵列(FPGA)实现粒子群优化(PSO)算法的最大功率点跟踪(MPPT)。PSO方法可以有效地处理部分遮阳条件下的多模态功率电压(P-V)曲线,具有结构简单、动态性能好的优点。采用超高速描述语言(VHDL)设计了PSO方法,并在Xilinx Virtex5 (XC5VLX50-1FFG676) FPGA上实现。FPGA的使用为MPPT算法提供了高度的灵活性和鲁棒性。仿真结果证明了粒子群算法在全局峰值跟踪中的准确性,以及它相对于扰动与观测(P&O)方法的优越性。所开发的体系结构在一个降压变换器上进行了实时应用测试。实验结果证实了该方法的有效性和处理部分阴影的精度。
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FPGA implementation of PSO based MPPT for PV systems under partial shading conditions
This paper presents a Field Programmable Gate Array (FPGA) implementation of Particle Swarm Optimisation (PSO) algorithm for maximum power point tracking (MPPT). The PSO method is very effective to handle the multimodal power-voltage (P-V) curve under partial shading conditions and presents several advantages such as simple structure and good dynamic performances. The PSO method has been designed using the very high-speed description language (VHDL) and implemented on Xilinx Virtex5 (XC5VLX50-1FFG676) FPGA. The use of FPGA offers a high degree of flexibility and robustness for the MPPT algorithm. The simulations results demonstrate the accuracy of PSO for global peak tracking and its superiority over the Perturb and Observe (P&O) technique. The developed architecture is tested in real time application on a buck-boost converter. Experimental results confirm the efficiency of the proposed scheme and its high accuracy to handle the partial shading.
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