Celikel Resat, Yilmaz Musa, Gundogdu Ahmet
Firat University, Technology Faculty, Department of Mechatronics, Elazig, Turkey.
Department of Electrical and Electronics Engineering, Batman University, Batman, 72100, Turkey.
Heliyon. 2024 Oct 15;10(20):e39382. doi: 10.1016/j.heliyon.2024.e39382. eCollection 2024 Oct 30.
Maximum Power Point Tracking (MPPT) algorithms are crucial for maximizing power extraction from photovoltaic (PV) systems. Traditional MPPT methods often exhibit suboptimal performance under partial shading conditions. Hence, advanced MPPT algorithms have been developed to enhance efficiency in such scenarios. The voltage scanning-based MPPT algorithm is notable for its superior performance under partial shading, characterized by high tracking speed and efficiency. This study introduces a novel enhancement to this method-namely, a voltage skipping algorithm designed to further improve tracking speed. Unlike conventional scanning techniques, this approach dynamically calculates skipping voltages during operation, eliminating the need for prior knowledge of PV panel characteristics. Performance evaluation was conducted using a MATLAB/Simulink model of a PV system comprising 4 series panels and a boost converter, subjected to simulations under 5 distinct partial shading scenarios. Comparative analyses with established optimization algorithms such as particle swarm optimization, cuckoo search algorithm, and grey wolf optimization highlight the proposed method's effectiveness in terms of tracking speed and maximum power output. The proposed algorithm has worked with high efficiency of 99.28 %, 99.61 %, 99.13 %, 99.16 % and 99.58 % in 5 different scenarios, respectively. By using the proposed method, a significant superiority has been achieved over other methods, with tracking speeds of 0.26s, 0.22s, 0.2s, 0.22s and 0.26s, respectively.
最大功率点跟踪（MPPT）算法对于从光伏（PV）系统中最大限度地提取电能至关重要。传统的MPPT方法在部分阴影条件下往往表现出次优性能。因此，已经开发了先进的MPPT算法来提高此类情况下的效率。基于电压扫描的MPPT算法因其在部分阴影下的卓越性能而备受关注，其特点是跟踪速度快、效率高。本研究对该方法进行了一种新颖的改进——即一种旨在进一步提高跟踪速度的电压跳跃算法。与传统扫描技术不同，这种方法在运行过程中动态计算跳跃电压，无需事先了解光伏面板的特性。使用一个由4个串联面板和一个升压转换器组成的光伏系统的MATLAB/Simulink模型进行了性能评估，该模型在5种不同的部分阴影场景下进行了模拟。与粒子群优化、布谷鸟搜索算法和灰狼优化等既定优化算法的比较分析突出了所提出方法在跟踪速度和最大功率输出方面的有效性。所提出的算法在5种不同场景下分别以99.28%、99.61%、99.13%、99.16%和99.58%的高效率运行。通过使用所提出的方法，相对于其他方法取得了显著优势，跟踪速度分别为0.26秒、0.22秒、0.2秒、0.22秒和0.26秒。
