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光伏发电技术 MPPT ★ 5.0

基于最大功率点跟踪测量的光伏板温度和太阳辐照度估计算新模型

New Model for Estimating the Temperature and Solar Irradiance of Photovoltaic Panels Based on Maximum Power Point Tracking Measurements

作者 Zine Eddine Touhami Ternifi · Luis Garcia-Gutierrez · Mohammed El Bachir Ghribi · Ghalem Bachir · Michel Aillerie
期刊 IEEE Journal of Photovoltaics
出版日期 2025年9月
技术分类 光伏发电技术
技术标签 MPPT
相关度评分 ★★★★★ 5.0 / 5.0
关键词 光伏组件 温度估计 辐照度估计 最大功率点跟踪 光伏系统性能优化
语言:

中文摘要

本文提出了一种在最大功率点跟踪(MPPT)控制系统中利用电流和电压测量值来估算光伏组件温度和辐照度的新方法。与依赖外部数据(如复杂的辐照度和风速传感器及设备所提供的数据)的传统方法不同,该方法仅依赖于MPPT所需的特定面板的电流 - 电压(I - V)测量值,能够通过一种更简单且实时的方法实现准确估算。对各种面板温度估算技术的比较评估证实,所提出的方法优于现有方法,温度的平均绝对估算误差低于1℃,辐照度的平均绝对估算误差低于4 W/m²。该方法能有效应对温度变化,特别是在低辐照度条件下,此时电流与辐照度之间的比例关系变得不太可靠。结果表明,纳入估算的面板温度能显著提高辐照度预测的准确性,尤其是在实际运行条件下。此外,即使面板老化,该方法仍然有效,使其成为优化光伏系统性能的宝贵工具。鉴于其简单性和低成本,该技术非常适合太阳能装置的实时监测和优化。

English Abstract

This article proposes a new method for estimating the temperature and irradiance of a photovoltaic module using current and voltage measurements within a maximum power point tracking (MPPT) control system. Unlike traditional methods that depend on external data, such as those provided by complex irradiance and wind speed sensors and equipment, this approach relies solely on panel-specific I–V measurements needed for MPPT, enabling accurate estimations through a simpler and real-time method. A comparative evaluation of various panel temperature estimation techniques confirms that the proposed method outperforms existing ones, resulting in mean absolute estimation errors below 1 °C for temperature and 4 W/m2 for irradiance. The method effectively addresses temperature variations, particularly under low irradiance conditions, where the proportional relationship between current and irradiance becomes less reliable. Results indicate that incorporating the estimated panel temperature significantly enhances irradiance predictions, especially in real-world operating conditions. Furthermore, the method remains valid even as the panel ages, making it a valuable tool for optimizing photovoltaic system performance. Given its simplicity and its low cost, this technique is well suited for real-time monitoring and optimization of solar energy installations.
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SunView 深度解读

该基于MPPT测量的温度与辐照度估算技术对阳光电源SG系列光伏逆变器和iSolarCloud智能运维平台具有重要应用价值。通过复用逆变器MPPT过程中已有的电压电流数据,无需额外温度和辐照度传感器即可实现环境参数实时估算,可直接集成到SG系列逆变器的DSP控制算法中,降低BOM成本并提升系统可靠性。该技术可增强iSolarCloud平台的智能诊断能力,通过对比估算值与实际发电性能,实现组件老化、遮挡、热斑等故障的无传感器检测,为预测性维护提供新维度数据。同时可优化MPPT算法在非标准测试条件下的跟踪精度,提升发电效率。