光伏阵列故障检测方法综述

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摘要基于状态监测的故障诊断方法是提高光伏系统可靠性和安全性的有效实施途径。光伏阵列输出的非线性特性及其易受外界环境干扰的特点,导致传统保护装置难以检测到其直流侧故障。光伏阵列故障不仅会降低发电量、损害光伏组件,严重时甚至会导致大面积火灾。为解决该问题,专家学者们提出了多种光伏阵列故障检测方法,本文就常见的故障检测方法进行概述,首先分析光伏阵列故障检测的研究意义,然后介绍光伏阵列常见的故障类型,最后对常见检测方法的优缺点进行总结。

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	乔苏朋
	杨艳
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	杨耿杰

关键词 ：光伏阵列, 故障诊断, 光伏组件, 状态检测

Abstract：The fault diagnosis method based on condition monitoring is an effective way to improve the reliability and safety of photovoltaic systems. The output of the photovoltaic array has non-linear characteristics and is easily affected by external environmental interference. These reasons make it difficult for traditional protection devices to detect its DC side faults. The failure of the photovoltaic array will not only reduce the power generation and damage the photovoltaic modules, but also cause large-scale fires in severe cases. In order to deal with this problem, the methods of photovoltaic array fault detection are constantly being proposed by experts and scholars. This research summarizes the common fault detection methods. In this paper, the common fault types and characteristics of photovoltaic arrays are introduced, and the advantages and disadvantages of common detection methods are summarized at the end.

Key words： photovoltaic array fault diagnosis photovoltaic module status detection

收稿日期: 2020-10-08

基金资助:江苏省住房和城乡建设厅指导项目（2019ZD001287）; 江苏淮安市科技局自然科学研究计划项目（HAB201905）

作者简介: 乔苏朋（1992—）,男,江苏省徐州市人,硕士,主要从事电力设备智能预警、状态评估、故障诊断等研究工作。

引用本文:

乔苏朋, 杨艳, 陈世群, 高伟, 杨耿杰. 光伏阵列故障检测方法综述[J]. 电气技术, 2021, 22(7): 1-6. IAO Supeng, YANG Yan, CHEN Shiqun, GAO Wei, YANG Gengjie. Review on photovoltaic array diagnosis methods. Electrical Engineering, 2021, 22(7): 1-6.

链接本文:

http://dqjs.cesmedia.cn/CN/Y2021/V22/I7/1

[1] 韩付昌, 陈志聪, 吴丽君, 等. 一种光伏阵列实时状态监测与故障定位系统[J]. 福州大学学报(自然科学版), 2018, 46(6): 799-807.
[2] 王尧, 张彦风, 牛峰, 等. 光伏直流电弧电磁辐射特性分析与测量方法[J]. 电工技术学报, 2019, 34(14): 2913-2921.
[3] PILLAI D S, NATARAJAN R.A compatibility analysis on NEC, IEC, and UL standards for protection against line-line and line-ground faults in PV arrays[J]. IEEE Journal of Photovoltaics, 2019, 9(3): 864-871.
[4] ZHAO Ye, DE PALMA J F, MOSESIAN J, et al. Line-line fault analysis and protection challenges in solar photovoltaic arrays[J]. IEEE Transactions on Industrial Electronics, 2013, 60(9): 3784-3795.
[5] 彭雅兰, 李志刚. 太阳能光伏阵列在线故障诊断方法综述[J]. 电器与能效管理技术, 2019(11): 1-7.
[6] PILLAI D S, BLAABJERG F, RAJASEKAR N.A comparative evaluation of advanced fault detection approaches for PV systems[J]. IEEE Journal of Photo-voltaics, 2019, 9(2): 513-527.
[7] 毛峡, 李亚豪. 光伏阵列故障检测中的无人机红外图像拼接[J]. 太阳能学报, 2020, 41(3): 262-269.
[8] CUBUKCU M, AKANALCI A.Real-time inspection and determination methods of faults on photovoltaic power systems by thermal imaging in Turkey[J]. Renewable Energy, 2020, 147: 1231-1238.
[9] KAPLANI E.Detection of degradation effects in field-aged c-Si solar cells through IR thermography and digital image processing[J]. International Journal of Photoenergy, 2012, 2012: 1-11.
[10] BENATTO G A D R, MANTEL C, SPATARU S, et al. Drone-based daylight electroluminescence imaging of PV modules[J]. IEEE Journal of Photovoltaics, 2020, 10(3): 872-877.
[11] BREITENSTEIN O, BAUER J, TRUPKE T, et al.On the detection of shunts in silicon solar cells by photo and electroluminescence imaging[J]. Progress in Photovoltaics: Research and Applications, 2008, 16(4): 325-330.
[12] HAUNSCHILD J, REIS I E, GEILKER J, et al.Detecting efficiency-limiting defects in Czochralski-grown silicon wafers in solar cell production using photoluminescence imaging[J]. Physica Status Solidi-Rapid Research Letters, 2011, 5: 199-201.
[13] CHAKRAPANI S K, PADIYAR M J, BALASUBRAMANIAM K.Crack detection in full size CZ-silicon wafers using lamb wave air coupled ultrasonic testing (LAC-UT)[J]. Journal of Nondestructive Evaluation, 2012, 31(1): 46-55.
[14] 孟佳彬, 李智华, 吴春华, 等. 基于SSTDR的光伏系统对地故障检测方法[J]. 太阳能学报, 2020, 41(10): 109-118.
[15] HARROU F, TAGHEZOUIT B, SUN Ying.Improved KNN-based monitoring schemes for detecting faults in PV systems[J]. IEEE Journal of Photovoltaics, 2019, 9(3): 811-821.
[16] DHIMISH M, HOLMES V, MEHRDADI B, et al.Simultaneous fault detection algorithm for grid-connected photovoltaic plants[J]. IET Renewable Power Generation, 2017, 11(12): 1565-1575.
[17] HARIHARAN R, CHAKKARAPANI M, SARAVANA ILANGO G, et al.A method to detect photovoltaic array faults and partial shading in PV systems[J]. IEEE Journal of Photovoltaics, 2016, 6(5): 1278-1285.
[18] DHIMISH M, HOLMES V, MEHRDADI B, et al.Photovoltaic fault detection algorithm based on theoretical curves modelling and fuzzy classification system[J]. Energy, 2017, 140: 276-290.
[19] CHOUDER A, SILVESTRE S.Automatic supervision and fault detection of PV systems based on power losses analysis[J]. Energy Conversion and Management, 2010, 51(10): 1929-1937.
[20] DAVARIFAR M, RABHI A, EL-HAJJAJI A, et al.Real-time model base fault diagnosis of PV panels using statistical signal processing[C]//2013 Inter-national Conference on Renewable Energy Research and Applications (ICRERA), 2013: 599-604.
[21] 张明锐, 陈喆旸, 韦莉. 免疫萤火虫算法在光伏阵列最大功率点跟踪中的应用[J]. 电工技术学报, 2020, 35(7): 1553-1562.
[22] HUANG Junming, WAI Rongjong, GAO Wei.Newly-designed fault diagnostic method for solar photovoltaic generation system based on IV-curve measurement[J]. IEEE Access, 2019, 7: 70919-70932.
[23] CHEN Zhicong, CHEN Yixiang, WU Lijun, et al.Deep residual network based fault detection and diagnosis of photovoltaic arrays using current-voltage curves and ambient conditions[J]. Energy Conversion and Management, 2019, 198: 111793.
[24] 甘雨涛, 吴振辉, 陈志聪, 等. 基于LoRa和自适应神经网络模糊推理系统的光伏阵列故障诊断系统[J]. 电气技术, 2020, 21(8): 80-86.
[25] SPATARU S, SERA D, KEREKES T, et al.Diagnostic method for photovoltaic systems based on light I-V measurements[J]. Solar Energy, 2015, 119: 29-44.
[26] 王元章, 吴春华, 周笛青, 等. 基于BP神经网络的光伏阵列故障诊断研究[J]. 电力系统保护与控制, 2013, 41(16): 108-114.
[27] 蔡雨桥, 林培杰, 林耀海, 等. 基于动态时间规整的光伏阵列在线故障检测方法[J]. 电气技术, 2020, 21(7): 42-47.
[28] 杨佳葳, 闫正兵, 李剑锋, 等. 基于序差和的光伏阵列故障分类方法[J]. 控制工程, 2020, 27(8): 1425-1428.
[29] 李光辉, 段晨东, 武珊. 基于半监督机器学习法的光伏阵列故障诊断[J]. 电网技术, 2020, 44(5): 1908-1913.
[30] KUMAR B P, ILANGO G S, REDDY M J B, et al. Online fault detection and diagnosis in photovoltaic systems using wavelet packets[J]. IEEE Journal of Photovoltaics, 2018, 8(1): 257-265.
[31] YI Z, ETEMADI A H.Line-to-line fault detection for photovoltaic arrays based on multi-resolution signal decomposition and two-stage support vector machine[J]. IEEE Transactions on Industrial Electronics, 2017, 64(11): 8546-8556.
[32] YI Zhehan, ETEMADI A H.Fault detection for photovoltaic systems based on multi-resolution signal decomposition and fuzzy inference systems[J]. IEEE Transactions on Smart Grid, 2017, 8(3): 1274-1283.