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一种基于组串电流相关性的高效光伏阵列故障检测技术
An Efficient String Current Correlation-Based PV Array Fault Detection Technique
| 作者 | Ushnik Chakrabarti · Binoy Kumar Karmakar |
| 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 | 储能系统 故障诊断 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 太阳能光伏阵列 保护装置 故障检测 部分遮挡 电流相关性 |
语言:
中文摘要
在串联-并联配置的光伏阵列中,由于串联阻断二极管的存在,过流保护装置(OCPD)和接地故障保护装置(GFPD)难以检测故障,因故障电流被限制在保护阈值以下。现有方法多无法区分故障与局部遮阴,易导致误报。本文提出一种基于组串电流相关性的故障检测方法,可有效识别故障并区分局部遮阴。通过计算组串电流间的负相关阈值,实现故障判别。MATLAB仿真和小规模硬件实验验证了该方法在多种故障类型和天气条件下的有效性与实用性。
English Abstract
Standard protection devices, such as overcurrent protection devices (OCPD) or ground fault protection devices (GFPD), fail to detect faults due to the presence of series blocking diodes in a series–parallel configured solar photovoltaic (PV) array. This is because, the blocking diode limits the fault current below the respective threshold of the OCPD or GFPD fuses. Several techniques are available in the literature, which attempt to overcome the ineffectiveness of the protection devices in the presence of series blocking diodes. However, the common limitation of these techniques are that they fail to distinguish a fault from partial shading conditions. This can lead to false positives affecting productivity. To overcome the shortcomings of the available techniques, this work proposes a string current correlation-based fault detection technique for PV arrays, which is also effective under partial shading conditions. This work also computes a threshold value of the anticorrelation between the string currents that separates faults from partial shading. MATLAB simulations considering various fault types and weather conditions show its effectiveness in detecting faults and separating it from partial shading. A small-scale hardware set-up is also developed to establish the applicability of the proposed technique in a real-world scenario.
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SunView 深度解读
该组串电流相关性故障检测技术对阳光电源SG系列光伏逆变器和iSolarCloud智能运维平台具有重要应用价值。该方法通过负相关阈值判别可有效区分故障与局部遮阴,解决了传统OCPD/GFPD在串联阻断二极管场景下的检测盲区问题,可直接集成到SG逆变器的组串电流监测模块中,提升故障诊断准确率并降低误报率。对于iSolarCloud平台,该算法可增强智能诊断功能,实现多种天气条件下的精准故障定位,减少现场运维成本。该技术与阳光电源现有MPPT优化算法协同,可进一步提升大型光伏电站的安全性和发电效率,特别适用于复杂遮阴场景的1500V高压系统。