基于反射特征的光伏直流母线故障诊断方法
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五凌电力有限公司新能源分公司

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Fault Diagnosis Method for Photovoltaic DC Bus Based on Reflection Signal Characteristics
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    摘要:

    光伏(PV)直流母线作为承载光伏阵列与逆变器间高压直流电能的电气传输通道,属于极易产生故障与失效现象的薄弱环节;针对PV直流母线的开路(OC)故障问题,提出了一种基于(STDR/SSTDR)行波反射信号特征分析的PV直流母线开路故障诊断方法;首先,解析行波信号的传输与反射规律,进而明确“信号-阻抗”映射机理;然后对组串式PV模块进行等效特征阻抗建模,并分析其在健康和故障场景下的阻抗变换规律,进而基于信号特征值偏移量(ΔRPτ)实现故障诊断与定位的功能;最后,分别对不同故障距离的组串式PV模块开展测试,对比分析了两类测试信号的评估效果和适用场景;实验结果表明,所提方法能够实现PV直流母线开路故障的有效诊断与离散定位功能;反射信号特征峰值(RPτ)随开路故障距离(l)的增长而减小,相较于STDR信号,SSTDR信号具备更优的鲁棒性和辨识精度,适用于面向长距离PV直流母线故障诊断的应用场景。

    Abstract:

    The photovoltaic (PV) DC busbar, as a high-voltage transmission link between PV arrays and inverters, is prone to faults. To address open-circuit (OC) faults, this paper proposes a diagnosis method based on traveling wave reflection analysis using spread spectrum time domain reflectometry (STDR) and sequence time domain reflectometry (SSTDR). The signal-impedance mapping mechanism is first established by analyzing wave transmission and reflection. An equivalent characteristic impedance model for string-type PV modules is then developed, and impedance variations under healthy and faulty conditions are analyzed to enable fault detection and localization via signal eigenvalue shifts (ΔRPτ). Experiments with varying fault distances compare the performance and applicability of STDR and SSTDR signals. Results show that the method effectively diagnoses and locates OC faults. The reflection peak (RPτ) decreases with increasing fault distance (l), and SSTDR signals demonstrate superior robustness and accuracy compared to STDR, making them more suitable for long-distance PV DC busbar fault diagnosis.

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  • 收稿日期:2025-09-17
  • 最后修改日期:2025-11-09
  • 录用日期:2025-11-11
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