Haris Muhović, Almedin Salkić, Emina Melic, Neira Džananović, M. Saric, D. Jokić, S. Lale
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引用次数: 0
摘要
本文提出了在可变天气条件下确定光伏发电系统最大功率点(MPP)的二叉搜索算法(BSA)。此外，还实现了传统的Perturb and Observe (P&O)算法，并与基于二叉搜索的最大功率点跟踪(MPPT)算法进行了比较。两种算法均在MATLAB/Simulink环境下实时实现。实验研究采用两个260 W串联的光伏模块、降压变换器和Humusoft MF 634卡进行实时操作。降压转换器的占空比的值在每一步中都在更新，使工作点更接近MPP。实验结果表明，与P&O MPPT算法相比，基于二叉搜索的MPPT算法具有更高的效率和准确性。
Binary Search based Maximum Power Point Tracking Algorithm for Photovoltaic System
This paper presents the implementation of the Binary Search Algorithm (BSA) to determine the Maximum Power Point (MPP) of a photovoltaic (PV) system under variable weather conditions. Additionally, the conventional well-known Perturb and Observe (P&O) algorithm is also implemented to be compared with the binary search based Maximum Power Point Tracking (MPPT) algorithm. Both algorithms are implemented in real time in MATLAB/Simulink environment. The experimental study is performed using the two 260 W series connected PV modules, the buck converter, and Humusoft MF 634 card to enable real-time operation. The value of the duty cycle for the buck converter is being updated in each step moving the operation point closer to MPP. The obtained experimental results demonstrate that the binary search based MPPT algorithm is more efficient and accurate when compared to the P&O MPPT algorithm.
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