由于太阳电池输出特性具有非线性特征,最大功率点追踪（MPPT）算法已应用于各大型或小微型光伏发电系统中。以MPPT算法中的传统定步长扰动观察法（P&O）为研究基础,针对该算法的追踪速度与稳态抑制难以平衡的问题,提出一种基于P&O的稳态识别控制与快速追踪相结合的MPPT算法（SIC-FT算法）,同时提出一种评价MPPT算法性能的评价体系。通过在Matlab2022a/Simulink平台上搭建模型,对提出的算法以及其他基于P&O改进的算法,应用该文提出的评价体系进行仿真对比。结果显示,所提算法整体上优于仿真的其他同类算法。
Abstract
Given the non-linear characteristics of solar cell outputs, the maximum power point tracking （MPPT） algorithms are employed in numerous micro PV systems, regardless of their scale. This study focuses on the traditional fixed-step perturbation and observation （P&O） method used in the MPPT algorithm. Due to challenges in optimizing tracking speed with steady-state oscillation suppression in the standard P&O algorithm, a novel P&O-based approach is introduced, integrating steady-state identification with fast tracking. Moreover, a performance evaluation system for the MPPT algorithm is introduced. Using the Matlab2022a/Simulink platform, the proposed method's efficacy was benchmarked against other enhanced P&O algorithms via simulations guided by the aforementioned evaluation system. Results suggest that the proposed method consistently outperforms its counterparts in the simulations.
关键词
最大功率点追踪 /
光伏系统 /
扰动观察 /
稳态振荡 /
快速追踪
Key words
maximum power point tracking /
photovoltaic system /
perturbation and observation（P&O） /
steady state oscillation /
fast tracking
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参考文献
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基金
国家自然科学基金（61974056）; 江苏省重点研发社会发展项目（BE2020756）
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