Spectrum Comparative Study of Commutation Failure and Short-Circuit Fault in UHVDC Transmission System
Abstract
When commutation failure occurs in UHVDC transmission system, the transient process of DC voltage and current are similar to grounding short-circuit fault. In order to differentiate them effectively, the paper introduces mathematical morphology methods to analysis the spectrum of transient current. Base on Yunnan-Guangzhou kV UHVDC transmission system, the paper simulates the commutation failure and DC line short-circuit fault under different fault conditions in PSCAD/EMTDC. By modified morphology filter, the transient signal of DC () is decomposed into six scales, and morphological characteristics of aerial mode component of is analyzed under different scales. The simulation results show that when DC line short-circuit faults occurs, wherever in the rectifier side, in the DC transmission line midpoint or in the inverter side, the aerial mode component of have more high frequency weight in ~ and decays gradually; When commutation failures, which are caused by the inverter side AC system single-phase grounding fault, phase to phase fault, three phase grounding fault or the inverter side transformer ratio increased, the aerial mode component of have less frequency weight in.
Full Text:
PDFReferences
YUAN Qingyun. Present state and application prospect of ultra HVDC transmission in China[J]. Power System Technology, 2005, 29(14):1-3.
LIN Lingxue, ZHANG Yao, et al. A survey on commutation failure in multi-infeed HVDC transmission systems[J]. Power System Technology, 2006, 30(17): 40-46.
LIU Jian, LI Xingyuan, Wu Chong, et al. Research on critical index of commutation failure in HVDC system[J]. Power System Technology, 2009, 33(8): 8-12.
WANG Gang, LI Zhikeng, HUANG Min, et al. Influence of initial fault voltage angle on commutation failure identification in a HVDC system[J]. Automation of Electric Power Systems, 2010, 34(4): 49-54, 102.
CHEN Shuyong, LI Xinnian, YU Jun, et al. A method based on the sin-cos components detection mitigates commutation failure in HVDC[J]. Proceedings of the CSEE, 2005, 25(14): 1-6.
HE Chaorong, LI Xingyuan, JIN Xiaoming, et al. Criteria for commutation failure in HVDC transmission systems[J]. Power System Technology, 2006, 30(22): 19-24.
HE Chaorong, LI Xingyuan, JIn Xiaoming, et al. Simulation analysis on commutation failure criteria for HVDC transmission systems[J]. Power System Technology, 2007, 31(1): 20-24.
XU Songlin, HUANG Shao-xian. Fault diagnosis of commutation failures in the HVDC system based on the wavelet energy spectrum and grey comprehensive relationship degree[J]. Power System Protection and Control, 2012, 40(3):85-89.
LIN Lingxue, ZHANG Yao, ZHONG Qing, et al. Fault iagnosis of commutation failures in the HVDC system based on a method of wavelet energy statistics[J].
ZHANG Yao, LIN Lingxue,ZHONG Qing. Fault diagnosis based on wavelet for commutation failures in HVDC[J]. Journal of South China University of Technology (Natural Science Edition), 2007, 35(10): 172-177.
YIN Wenqin, LIU Qianjin. Mathematical morphology review and its applications in power system[J]. RELAY, 2007, 35(19): 172-177.
SHU Hongchun, WANG Chao, ZHANG Jie WU Na.HVDC transmission system fault identification and locating algorithm using mathematical morphology[J]. Electric Power Automation Equipment, 2007, 27(4):6-9, 18.
SHU Hongchun, CHENG Chunhe,ZHAO Wenyuan,ZHANG Jiabei. Accurate traveling-wave front detection based on morphology and HHT[J]. Electric Power Automation Equipment, 2009, 29(7):1-7,37.
ZHAO Jun, LV Yanping, WANG Hanguang. New scheme to identify lightning disturbance for the UHV transmission lines based on multi2scale morphology decomposition[J]. High Voltage Engineering, 2009, 35(5): 994-998.
WANG Jing, SHU Hong-chun, CHEN Xue-yun. Multi-scale morphology analysis of dynamic power quality disturbances[J]. Proceedings of the CSEE, 2004, 24(4):63-67.
ZENG Jiyong, DING Hongfa, DUAN Xianzhong. Harmonics detection and disturbance location methods based on mathematical morphology[J]. Proceedings of the CSEE, 2005, 25(11):57-62.
OUYANG Sen, HUANG Runhong. A method of locating transient disturbance of power quality based on morphological edge detection[J]. Power System Technology, 2012, 36(4):63-67.
ZHANG Lijun, YANG Debin, XU Jinwu, Chen Zhixin. Approach to extracting gear fault feature based on mathematical morphological filtering[J]. Chinese Journal of Mechanical Engineering, 2007, 43(2):71-75.
CHEN Pan, CHEN Haoyong, YE Rong. Wind speed forecasting based on multi-scale morphological analysis[J]. Power System Protection and Control, 2010, 38(21):12-18.
LI Tianyun, YANG Mei, ZHOU Xichao, et al. Method of partial discharge signal analysis based on wavelet transform and mathematical morphology[J]. Power System Technology, 2007, 31(6):56-60.
ZHU Shihu, ZHU Hong, HE Peizhong. Research on structuring elements selection in morphology operation[J]. Modern Computer, 2009, 3(1):19– 21.
DOI: http://doi.org/10.12928/telkomnika.v12i4.300
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120
Fax: +62 274 564604