Home Journals Articles Updates About
CN
image
收藏切换
Research on signal characteristics of online photovoltaics array fault detection using spread spectrum time domain reflectometry
收藏切换
PDF
Weihong Su1, 2, Dedong Gao1, Shan Wang1, Yongxin Wang1
Renewable Energy Resources | 2024, 42(3) : 322 - 330
Less
收藏切换
Renewable Energy Resources | 2024, 42(3): 322-330
Research on signal characteristics of online photovoltaics array fault detection using spread spectrum time domain reflectometry
Full
Weihong Su1, 2, Dedong Gao1, Shan Wang1, Yongxin Wang1
Affiliations
  • 1 The College of Mechanical Engineering Qinghai University Xining 810016 China
  • 2 Xining Urban Vocational & Technical College Xining 810016 China
Published: 2024-03-20
Outline
收藏切换

The photovoltaic (PV) array fault detection method based on Spread Spectral Time Domain Reflectometry (SSTDR) has detection blind spots and attenuation characteristics. It is necessary to study the property of the detection signal to improve the fault detection performance. Firstly, the transmission behavior of the detection signal in the PV array is studied to explore the influence of different signal parameters on the detection range and accuracy. Secondly, based on the dynamic model and layout pattern of the PV cells, a simulation platform for PV array fault detection is established. The simulation results are validated through a simulated experiment of an opencircuit fault. The results show that improving the signal can effectively enhance the ability to identify correlation peaks, increasing the number of PV components detected by four units. Finally, the influence of blind area and attenuation characteristics is comprehensively analyzed. A signal selection strategy of PV array based on SSTDR is proposed to determine the fault detection distance and the optimal parameters of test signal.

spread spectrum time domain reflectometry (SSTDR)  /  photovoltaics array  /  fault detection  /  signal characteristic
Weihong Su, Dedong Gao, Shan Wang, Yongxin Wang. Research on signal characteristics of online photovoltaics array fault detection using spread spectrum time domain reflectometry[J]. Renewable Energy Resources, 2024 , 42 (3) : 322 -330 .
Appendix
Less
Year 2024 volume 42 Issue 3
PDF
264
145
Cite this Article
BibTeX
Article Info
  • Receive Date：2023-01-06
  • Online Date：2025-07-22
  • Published：2024-03-20
Article Data
Affiliations
History
  • Received：2023-01-06
Funding
Affiliations
    1 The College of Mechanical Engineering Qinghai University Xining 810016 China
    2 Xining Urban Vocational & Technical College Xining 810016 China
References
Share
https://castjournals.cast.org.cn/joweb/kzsny/EN/
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House