ANALYSIS OF FAULT CHARACTERISTICS IN PHOTOVOLTAIC STRING BASED ON TIME SERIES AND I-V CHARACTERISTICS COMPARISON

Lu Ting, Guo Qian, Wei Dong, Wang Chongxi

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 40-50.

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 40-50. DOI: 10.19912/j.0254-0096.tynxb.2024-1740

ANALYSIS OF FAULT CHARACTERISTICS IN PHOTOVOLTAIC STRING BASED ON TIME SERIES AND I-V CHARACTERISTICS COMPARISON

  • Lu Ting1, Guo Qian1, Wei Dong2, Wang Chongxi1
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Abstract

Based on the equivalent circuit of solar cells, a model for the I-V output characteristics of photovoltaic strings is established. By using numerical solutions, a method for calculating the model parameters and maximum power point under any ambient temperature and irradiance is proposed. Furthermore, a time series output characteristics model of photovoltaic strings is developed. For faults such as aging, potential-induced degradation (PID), micro-cracks, and hotspots, the differential change patterns under different types and degrees of faults are studied. According to the variation characteristics of the time series and global maximum power point curves, fault features are identified and extracted to distinguish fault types and describe fault severity. Simulation and experimental results show that the established model and proposed method can accurately fit the measured data. The calculated model parameters and global maximum power points under various irradiance levels and ambient temperatures exhibit distinct variation patterns. The proposed fault feature metrics can effectively differentiate fault types and describe changes in fault severity.

Key words

time series / maximum power point / current voltage characteristics / photovoltaic string

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Lu Ting, Guo Qian, Wei Dong, Wang Chongxi. ANALYSIS OF FAULT CHARACTERISTICS IN PHOTOVOLTAIC STRING BASED ON TIME SERIES AND I-V CHARACTERISTICS COMPARISON[J]. Acta Energiae Solaris Sinica. 2026, 47(2): 40-50 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1740

References

[1] 乔苏朋, 杨艳, 陈世群, 等. 光伏阵列故障检测方法综述[J]. 电气技术, 2021, 22(7): 1-6.
QIAO S, YANG Y, CHEN S, et al.Review on photovoltaic array diagnosis methods[J]. Electrical engineering, 2021, 22(7): 1-6.
[2] 李智华, 马浩强, 吴春华, 等. 基于三参数的光伏组件老化程度诊断[J]. 中国电机工程学报, 2022, 42(9): 3327-3338.
LI Z H, MA H Q, WU C H, et al.Diagnosing the aging degree of photovoltaic modules based on three parameters[J]. Proceedings of the CSEE, 2022, 42(9): 3327-3338.
[3] OH J, BOWDEN S, TAMIZHMANI G.Potential-induced degradation(PID): incomplete recovery of shunt resistance and quantum efficiency losses[J]. IEEE journal of photovoltaics, 2015, 5(6): 1540-1548.
[4] FINSTERLE T, ČERNA L, HRZINA P, et al.Diagnostics of PID early stage in PV systems[J]. Energies, 2021, 14(8): 2155.
[5] 郑修斌, 陈珺, 刘飞. 基于内部参数的光伏阵列故障诊断[J/OL]. 控制工程, 1-10[2026-01-20].https://doi.org/10.14107/j.cnki.kzgc.20240003.
ZHENG X B, CHEN J, LIU F.Fault diagnosis of photovoltaic array based on internal parameters[J/OL]. Control engineering of China, 1-10[2026-01-20].https://doi.org/10.14107/j.cnki.kzgc.20240003.
[6] AFRIDI M, KUMAR A, IBNE MAHMOOD F, et al.Hotspot testing of glass/backsheet and glass/glass PV modules pre-stressed in extended thermal cycling[J]. Solar energy, 2023, 249: 467-475.
[7] TAO Y K, BAI J B, PACHAURI R K, et al.Parameter extraction of photovoltaic modules using a heuristic iterative algorithm[J]. Energ conversion and management, 2020, 224: 113386.
[8] 高剑, 郭倩, 卫东, 等.基于等效电路模型参数计算的光伏组件隐裂故障诊断方法[J]. 太阳能学报, 2024,45(5): 481-489.
GAO J, GUO Q, WEI D, et al.Method of photovoltaic module cracked fault diagnosis based on equivalent circuit model parameter calculation[J]. Acta energiae solaris sinica, 2024, 45(5): 481-489.
[9] 魏缪宇, 卫东, 郭倩, 等. 局部异物遮挡状态下光伏单元输出特性与故障诊断方法[J].太阳能学报, 2021, 42(5): 260-266.
WEI M Y, WEI D, GUO Q, et al.Output characteristics and fault diagnosis method of PV unit under partial shading[J]. Acta energiae solaris sinica, 2021, 42(5): 260-266.
[10] 臧健康, 卫东, 魏缪宇. 基于多峰状态的光伏组串参数求解与波峰最大功率点计算方法[J]. 太阳能学报, 2020, 41(11): 86-94.
ZANG J K, WEI D, WEI M Y.Calculation of PV string parameters and peak maximum power point based on multi peak state[J]. Acta energiae solaris sinica, 2020, 41(11): 86-94.
[11] 方洛迪, 郭倩, 卫东, 等. 遮挡状态下光伏组件多峰输出特性的参数计算与分析[J]. 太阳能学报, 2022,43(7): 115-121.
FANG L D, GUO Q, WEI D, et al.Parameters calculation and analysis of muti-peak output characteristics of PV module under shading[J]. Acta energiae solaris sinica, 2022, 43(7): 115-121.
[12] LIU Y J, DING K, ZHANG J W, et al.Intelligent fault diagnosis of photovoltaic array based on variable predictive models and I-V curves[J]. Solar energy, 2022, 237: 340-351.
[13] HE Z X, CHU P P, LI C X, et al.Compound fault diagnosis for photovoltaic arrays based on multi-label learning considering multiple faults coupling[J]. Energy conversion and management, 2023, 279: 116742.
[14] 马铭遥, 张志祥, 刘恒, 等. 基于I-V特性分析的晶硅光伏组件故障诊断[J]. 太阳能学报, 2021, 42(6): 130-137.
Ma M, Zhang Z, Liu H, et al.Fault diagnosis of crystalline silicon photovoltaic modules based on I-V characteristic analysis[J]. Acta energiae solaris sinica, 2021, 42(6): 130-137.
[15] MA M Y, ZHANG Z X, YUN P, et al.Photovoltaic module current mismatch fault diagnosis based on I-V data[J]. IEEE journal of photovoltaics, 2021, 11(3): 779-788.
[16] 顾鑫磊, 顾志伟, 卫东, 等. 基于时间序列波形特征的光伏组串热斑故障诊断方法[J]. 太阳能学报, 2023, 44(9): 125-133.
GU X L, GU Z W,WEI D, et al.Photovoltaic array hot spot diagnosis method based on output time series waveform features[J]. Acta energiae solaris sinica, 2023, 44(9): 125-133.
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