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基于线性跳跃方法的光伏系统柔性功率点跟踪
Flexible power point tracking for photovoltaic systems based on the linear jump method
| 作者 | Fang Gao · Zuchang Lin · Linfei Yin · Qing Gao |
| 期刊 | Energy Conversion and Management |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 333 卷 |
| 技术分类 | 光伏发电技术 |
| 技术标签 | 储能系统 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | [Reference voltage](https://www.sciencedirect.com/topics/engineering/reference-voltage "Learn more about Reference voltage from ScienceDirect's AI-generated Topic Pages") derived from P-V curve slope enables single-step power tracking boosting speed. |
语言:
中文摘要
摘要 随着可再生能源的发展,灵活的光伏(PV)功率跟踪控制策略正日益成为研究热点。现有的恒定功率发电(CPG)方法在环境条件变化和参考功率波动时,往往难以同时满足快速收敛、稳定跟踪以及算法简洁性的要求。为解决这一问题,本文提出一种基于线性跳跃方法(LJM-B)的柔性功率点跟踪(FPPT)算法。该策略通过计算或估计单个P-V曲线峰值左侧最大功率点(MPP)处P-V特性曲线的线性斜率,确定与参考功率相对应的参考电压。当参考功率小于可用光伏功率时,系统可根据计算得到的参考电压直接跳转至目标功率工作点。当系统最大输出功率无法满足参考功率需求时,该算法通过在最大功率点跟踪策略中引入初始跳跃步骤,显著提升了动态响应速度。所提出的算法通过简单的逻辑实现系统工作点的快速调节,能够在环境变化或参考功率变动的情况下,准确地跟踪参考功率。仿真与实验结果表明,与现有算法相比,该算法显著提高了系统的动态响应能力和跟踪性能。
English Abstract
Abstract With the rise of renewable energy, flexible photovoltaic (PV) power tracking control strategies are increasingly becoming a hot research topic. Existing constant power generation (CPG) methods often struggle to simultaneously meet the demands for rapid convergence, stable tracking, and algorithmic simplicity, particularly when environmental conditions change and reference power fluctuates. To address this issue, a linear jump method-based (LJM-B) flexible power point tracking (FPPT) algorithm is proposed in this work. This strategy determines the reference voltage corresponding to the reference power by calculating or estimating the linear slope of the P-V characteristic curve on the left of the maximum power point (MPP) of a single P-V peak. If the reference power is less than the available PV power, the system can directly jump to the reference power based on the calculated reference voltage. When the system’s maximum output power cannot meet the reference power, the algorithm significantly enhances the dynamic response speed by incorporating an initial jump step into the maximum power point tracking strategy. The proposed algorithm enables rapid adjustment of the system’s operating point through simple logic, facilitating accurate tracking of the reference power, whether in response to environmental changes or variations in the reference power. Simulation and experimental results demonstrate that the proposed algorithm significantly improves dynamic response and tracking performance compared to existing algorithms.
S
SunView 深度解读
该线性跳变柔性功率跟踪技术对阳光电源SG系列光伏逆变器及ST储能变流器具有重要应用价值。通过P-V曲线左侧线性斜率计算实现参考电压快速定位,可显著提升我司MPPT算法在功率限发场景下的动态响应速度。该方法特别适用于电网调度需求下的主动功率控制、储能系统充电功率精准跟踪,以及PowerTitan等大型储能系统的多机协调控制。建议将该算法集成至iSolarCloud平台的智能调度模块,结合GFM控制策略,增强系统在弱电网环境下的柔性并网能力,提升产品在新型电力系统中的竞争力。