Partial shadow fault diagnosis of crystalline silicon photovoltaic module based on S-V characteristic analysis

被引:0
|
作者
Ma M. [1 ]
Wang H. [1 ]
Ma W. [1 ]
Zhang Z. [1 ]
Zhang X. [1 ]
机构
[1] School of Electric Engineering and Automation, Hefei University of Technology, Hefei
来源
关键词
Current voltage characteristics; Fault detection; Partial shading fault; PV modules; S-V characteristic;
D O I
10.19912/j.0254-0096.tynxb.2020-1397
中图分类号
学科分类号
摘要
For the widely used crystalline silicon photovoltaic(PV)modules, an accurate simulation model with double diodes of the solar cells is established on Simulink. The most common partial shading faults of PV modules in practical applications are simulated and verified under various working conditions. According to the characteristics of the inflection point, step and the integral area(S)based on the I-V curve, an online partial shading faults diagnosis method of PV modules using the characteristic of S-V curve is proposed. This method establishes the S-V curve of the PV module first, and judges the shading modes of PV modules according to the bifurcation point position of the S-V curve, and further judges the shading ratio by the overall integral area. The temperature and irradiance are normalized to make the method applicable for all working conditions. Combined with the PV module power optimizer, it is verified that the proposed diagnosis method has a high accuracy rate and can accurately estimate the shading area of each PV module. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.
引用
下载
收藏
页码:64 / 72
页数:8
相关论文
共 20 条
  • [1] FIRTH S K, LOMAS K J, REES S J, Et al., A simple model of PV system performance and its use in fault detection, Solar energy, 84, 4, pp. 624-635, (2010)
  • [2] FADHEL S, DELPHA C, DIALLO D, Et al., PV shading fault detection and classification based on I-V curve using principal component analysis: application to isolated PV system, Solar energy, 197, pp. 1-10, (2019)
  • [3] HU Y H, CHEN H, XU R D, Et al., PV module characteristics effected by shadow problem, Transactions of China Electrotechnical Society, 26, 1, pp. 123-128, (2011)
  • [4] CHOUDER A, SILVESTRE S, Et al., Automatic supervision and fault detection of PV systems based on power losses analysis, Energy conversion and management, 51, 10, pp. 1929-1937, (2010)
  • [5] WANG W G, LIU A C, CHUNG H S, Et al., Fault diagnosis of photovoltaic panels using dynamic currentvoltage characteristics, IEEE transactions on power electronics, 31, 2, pp. 1588-1599, (2015)
  • [6] ZHAI Z T, CHENG X F, DING J L, Et al., Characteristics of partially shadowed serial PV module output, Journal of University of Science and Technology of China, 39, 4, pp. 398-402, (2009)
  • [7] WANG Y Z, LI Z H, WU C H., Fault diagnosis technologies for photovoltaic system, Chinese journal of power sources, 37, 9, pp. 1700-1705, (2013)
  • [8] BRESSAN M, EL BASRI Y, GALEANO A G, Et al., A shadow fault detection method based on the standard error analysis of I-V curves, Renewable energy, 99, pp. 1181-1190, (2016)
  • [9] SARIKH S, RAOUFI M, BENNOUNA A, Et al., Fault diagnosis in a photovoltaic system through I-V characteristics analysis, 2018 9th International Renewable Energy Congress, (2018)
  • [10] CHEN Y H, YAN T F, XIE T, Et al., A novel fault diagnosis method of photo voltaic module based on power loss and UI characteristics, Motor and control application, 43, 11, pp. 92-97, (2016)