收藏切换
Research on Wind Power Transmission Line Protection Based on Fault Traveling Wave Similarity
收藏切换
PDF
Chen CHEN1, Pingxian DONG1, Xiaofan SONG1, Fang GUO1, Huanruo QI1, Xiaotong DU2
Electric Drive | 2024, 54(6) : 89 - 96
Less
收藏切换
Electric Drive | 2024, 54(6): 89-96
Research on Wind Power Transmission Line Protection Based on Fault Traveling Wave Similarity
Full
Chen CHEN1, Pingxian DONG1, Xiaofan SONG1, Fang GUO1, Huanruo QI1, Xiaotong DU2
Affiliations
  • 1 Henan Power Grid Economic Research Institute,Zhengzhou 450000,Henan,China
  • 2 School of Electric Engineering,Beiijng Jiaotong University,Beijing 100044,China
Published: 2024-06-20 doi: 10.19457/j.1001-2095.dqcd24747
Outline
收藏切换

After the distributed wind farm stations are integrated into the distribution network,due to the characteristics of wind farm short-circuit current amplitude control and frequency offset,the traditional three-stage current protection of distribution network is difficult to accurately identify the fault on the wind power transmission line. Based on the similarity of fault current traveling waves,a fast protection method for wind power transmission lines in distribution networks was proposed to ensure fast and safe operation of distribution networks. First,the differences in the supply fault currents at the two ends of the transmission line were analyzed. A similarity pilot protection approach was proposed by exploiting the difference in the current travelling waveforms during the initial phase of the fault. The wavelet mode maximum was used for the start of protection. With the improved longest common subsequence algorithm,the waveform similarity at both ends was measured for fault discrimination.Finally,the simulation results demonstrate the excellent speed and reliability of the proposed method.

fault traveling wave  /  waveform similarity  /  output transmission line  /  doubly fed induction generator(DFIG)
Chen CHEN, Pingxian DONG, Xiaofan SONG, Fang GUO, Huanruo QI, Xiaotong DU. Research on Wind Power Transmission Line Protection Based on Fault Traveling Wave Similarity[J]. Electric Drive, 2024 , 54 (6) : 89 -96 . DOI: 10.19457/j.1001-2095.dqcd24747
Year 2024 volume 54 Issue 6
PDF
284
149
Cite this Article
BibTeX
Article Info
doi: 10.19457/j.1001-2095.dqcd24747
  • Receive Date:2022-11-01
  • Online Date:2025-11-26
  • Published:2024-06-20
Article Data
Affiliations
History
  • Received:2022-11-01
  • Revised:2022-12-07
Funding
Affiliations
    1 Henan Power Grid Economic Research Institute,Zhengzhou 450000,Henan,China
    2 School of Electric Engineering,Beiijng Jiaotong University,Beijing 100044,China
References
Share
https://castjournals.cast.org.cn/joweb/dqcd/EN/10.19457/j.1001-2095.dqcd24747
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

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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