全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2017 

基于频谱特性的HVDC区内外故障快速识别
Fast Identification of Inside and Outside Faults of HVDC Based on Frequency Spectrum Characteristics

DOI: 10.3969/j.issn.1001-0548.2017.06.014

Keywords: HVDC,区内外故障,物理边界,频谱特性

Full-Text   Cite this paper   Add to My Lib

Abstract:

高压直流输电(HVDC)系统区内外故障快速判别是实现故障保护的基础。由于直流滤波器、平波电抗器以及线路分布电容等作用下,区内外故障时,直流电流信号传播至保护安装处所经历的物理边界存在较大区别,导致直流电流频带能量分布具有明显差异。该文采用总体经验模态分解法(EEMD)对HVDC系统故障时的直流电流信号进行分解,将信号分解为几个固有模态分量(IMF)之和。然后,计算各模态分量的能量,通过对比分析,找出特征区别,进而定义能量比判据用于区分正常、区内、本侧区外以及对侧区外故障。该方法仅采用直流电流信号,简单易实现,能够满足快速性和选择性要求。最后,通过对HVDC多种工况下的大量故障进行仿真分析,验证了该方法的有效性和鲁棒性。

References

[1]  王俊生, 李海英, 曹东民, 等. ±800 kV特高压直流双极区保护的若干问题探[J]. 电力系统自动化, 2006, 30(23):85-88. WANG Jun-sheng, LI Hai-ying, CAO Dong-min, et al. Discussion on some problems in bi-pole area of ±800 kV UHVDC system protect[J]. Automation of Electric Power Systems, 2006, 30(23):85-88.
[2]  李从善, 刘天琪, 刘利兵, 等. 直流多落点系统自抗扰附加阻尼控制[J]. 电工技术学报, 2015, 30(7):10-17. LI Cong-shan, LIU Tian-qi, LIU Li-bing, et al. Aauto-disturbance rejection controller of multi-HVDC[J]. Transactions of China Electrotechnical Society, 2015, 30(7):10-17.
[3]  王娜娜, 刘涤尘, 廖清芬, 等. 基于EMD-TEO及信号能量分析法的主导低频振荡模式识别[J]. 电工技术学报, 2012, 27(6):198-204. WANG Na-na, LIU Di-chen, LIAO Qing-fen, et al. Identification of the dominant inertial mode based on EMDTEO and signal energy method[J]. Transactions of China Electrotechnical Society, 2012, 27(6):198-204.
[4]  李爱民, 蔡泽祥, 李晓华. 直流线路行波传播特性的解析[J]. 中国电机工程学报, 2010, 30(25):94-100. LI Ai-min, CAO Ze-xiang, LI Xiao-hua. Study on the propagation characteristics of traveling waves in HVDC transmission lines on the basis of analytical method[J]. Proceedings of the CSEE, 2010, 30(25):94-100.
[5]  束洪春, 田鑫萃, 董俊, 等. 利用电压相关性的±800 kV 直流输电线路区内外故障判断方法[J]. 中国电机工程学报, 2012, 32(4):151-160. SHU Hong-chun, TIAN Xin-cui, DONG Jun, et al. Identification between internal and external faults of ±800 kV HVDC transmission lines based on voltage correlation[J]. Proceedings of the CSEE, 2012, 32(4):151-160.
[6]  陈仕龙, 曹蕊蕊, 毕贵红, 等. 利用多分辨奇异谱熵和支持向量机的特高压直流输电线路区内外故障识别方法[J]. 电网技术, 2015, 39(4):989-994. CHEN Shi-long, CAO Rui-rui, BI Gui-hong, et al. Distinguish faults located inside/outside protection zone of UHVDC transmission line by multi-resolution singular spectrum entropy and support vector machine[J]. Power System Technology, 2015, 39(4):989-994.
[7]  束洪春, 田鑫萃, 董俊, 等. 基于多重分形谱的高压直流输电线路区内外故障识别方法[J]. 电工技术学报, 2013, 28(1):251-258. SHU Hong-chun, TIAN Xin-cui, DONG Jun, et al. Recognition method of HVDC transmission line fault based on multifractal spectrum[J]. Transactions of China Electrotechnical Society, 2013, 28(1):251-258.
[8]  YOU Min, ZHANG Bao-hui, CAO Rui-feng, et al. Study of non-unit transient-based protection for HVDC transmission lines[C]//Power and Energy Engineering Conference, 2009, APPEEC 2009. Asia-Pacific:IEEE, 2009:1-5.
[9]  WU Z, HUANG N E. Ensemble empirical mode decomposition:a noise-assisted data analysis method[J]. Advances in Adaptive Data Analysis, 2009, 1(1):1-41.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133