| 引用本文: | 高 放,胡嵘昭,殷林飞,曹会彬.基于定位收缩法的局部阴影条件下光伏最大功率点跟踪[J].电力系统保护与控制,2024,52(4):87-99.[点击复制] |
| GAO Fang,HU Rongzhao,YIN Linfei,CAO Huibin.Locate and shrink method for PV maximum power point tracking in partial shading conditions[J].Power System Protection and Control,2024,52(4):87-99[点击复制] |
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| 摘要: |
| 光伏最大功率点跟踪是提高光伏发电效率的重要手段。在局部阴影条件下，光伏阵列的特性曲线呈现多峰形状，常规的传统算法容易陷入局部最优。如何在局部阴影条件下找到全局最大功率点(global maximum power point, GMPP)至关重要。提出了一种定位收缩法(locate and shrink algorithm, LSA)，采用收缩边界的思想使得边界逐渐收缩到GMPP。LSA第一阶段提出了一种峰的定位方法，通过自适应采样结合I-V特性曲线能够定位主要峰的占空比范围。定位法能够与其他单峰算法结合，具有较强的扩展性。第二阶段提出了一种基于三点准则的收缩法，能够在单峰范围内通过收缩边界快速找到峰值点，并且具有很强的环境适应性。将LSA与多个算法进行仿真和硬件实验对比，结果表明LSA在跟踪速度、跟踪精度和稳态振荡方面有着明显优势。 |
| 关键词: 光伏局部阴影条件 最大功率点跟踪 定位收缩法 三点准则 |
| DOI：10.19783/j.cnki.pspc.230681 |
| 投稿时间：2023-06-05修订日期：2023-09-11 |
| 基金项目:国家自然科学基金项目资助(61720106009，61773359，52107081) |
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| Locate and shrink method for PV maximum power point tracking in partial shading conditions |
| GAO Fang1,HU Rongzhao1,YIN Linfei1,CAO Huibin2 |
| (1. School of Electrical Engineering, Guangxi University, Nanning 530004, China;
2. Hefei Institute of Physical Sciences, Chinese Academy of Science, Hefei 230031, China) |
| Abstract: |
| Photovoltaic maximum power point tracking is an important way of improving photovoltaic power generation efficiency. In partial shading conditions, the characteristic curve of a photovoltaic array has multiple peaks, and it is easy for the conventional algorithm to fall into a local optimum. How to find the global maximum power point (GMPP) in partial shading conditions is crucial. In this paper, a locate and shrink algorithm (LSA) is proposed. This applies the concept of boundary shrinkage to gradually shrink the two boundary points to the GMPP. The first stage of the LSA proposes a peak location method that the duty cycle range of the main peaks can be located by adaptive sampling combined with the I-V characteristic curve. The peak location method can be combined with other unimodal algorithms and has strong ability to expand. In the second stage, a shrinkage method based on a three-point criterion is proposed. This can quickly find the peak point in the range of one single peak via shrinking boundaries and has strong environmental adaptability. Both simulations and experiments are performed for the LSA and several other algorithms. The results show that the LSA has obvious advantages in tracking speed, tracking efficiency and steady-state oscillation. |
| Key words: photovoltaic partial shading conditions maximum power point tracking locate and shrink algorithm three- point criterion |
