基于匹配追踪的配电网单相接地故障定位方法
|
摘要
为了进一步解决采用小电流接地系统的配电网单相接地故障定位问题,利用原子稀疏分解匹配追踪算法分解单相接地电流暂态信号,自适应地提取衰减的直流电流分量.结合配电网拓扑结构和提取的衰减直流分量幅值,划分故障路径并进一步定位故障点.仿真结果表明,匹配追踪算法可以快速有效地提取衰减直流分量,准确地实现小电流接地系统单相接地故障的在线区段定位.相比于传统算法,原子稀疏分解理论克服了传统非自适应性算法的局限性,提高了暂态信号成分提取的准确性.
In order to further solve the problem of single-phase grounding fault location of distribution network of small current grounding system,the transient signals of single-phase grounding current were decomposed with an atomic sparse decomposition matching pursuit algorithm,and the attenuated DC current component could be adaptively extracted. Combined with the topological structure of distribution network and the extracted attenuated DC component amplitude,the fault path can be divided,and the faults will be further located. The simulation results showthat the matching pursuit algorithm can quickly and effectively extract the attenuated DC component,and accurately achieve the on line section location of single-phase grounding fault of small current grounding system. Compared with the traditional algorithms,the atomic sparse decomposition theory can overcome the limitation of traditional non-adaptive algorithms, and improves the extraction accuracy of transient signal component.
In order to further solve the problem of single-phase grounding fault location of distribution network of small current grounding system,the transient signals of single-phase grounding current were decomposed with an atomic sparse decomposition matching pursuit algorithm,and the attenuated DC current component could be adaptively extracted. Combined with the topological structure of distribution network and the extracted attenuated DC component amplitude,the fault path can be divided,and the faults will be further located. The simulation results showthat the matching pursuit algorithm can quickly and effectively extract the attenuated DC component,and accurately achieve the on line section location of single-phase grounding fault of small current grounding system. Compared with the traditional algorithms,the atomic sparse decomposition theory can overcome the limitation of traditional non-adaptive algorithms, and improves the extraction accuracy of transient signal component.
引文
[1]黄建明,李晓明.结合短时傅里叶变换和谱峭度的电力系统谐波检测方法[J].电力系统保护与控制,2017,45(7):43-50.(HUANG Jian-ming,LI Xiao-ming. Detection of har-monic in pow er system based on short-time Fouriertransform and spectral kurtosis[J]. Pow er SystemProtection&Control,2017,45(7):43-50.)
[2]彭翌春,何时秋.基于双随机相位估计的无功补偿方法[J].沈阳工业大学学报,2017,39(4):361-365.(PENG Yi-chun,HE Shi-qiu. Reactive power com-pensation method based on double random phase esti-mation[J]. Journal of Shenyang University of Tech-nology,2017,39(4):361-365.)
[3]肖厦颖,李开成,王凌云,等.一种基于小波包变换的电力系统谐波检测方法[J].电测与仪表,2017,54(24):1-6.(XIAO Xia-ying,LI Kai-cheng,WANG Ling-yun,et al. A harmonic detection method for pow er systembased on w avelet packet transform[J]. ElectricalM easurement&Instrumentation,2017,54(24):1-6.)
[4] Zibulevsky M,Pearlmutter B A. Blind source separa-tion by sparse decomposition in a signal dictionary[J]. Neural Computation,2001,13(4):863-882.
[5]要焕年,曹梅月.电力系统谐振接地[M].北京:中国电力出版社,2009:46.(YAO Huan-nian,CAO Mei-yue. Resonant groundedsystem in electric pow er aystems[M]. Beijing:ChinaElectric Pow er Press,2009:46.)
[6]齐仁龙,朱小会,张庆辉.光伏发电系统暂态特性仿真[J].沈阳工业大学学报,2017,39(2):121-126.(QI Ren-long,ZHU Xiao-hui,ZHANG Qing-hui.Simulation for transient characteristics of photovoltaicpow er generation system[J]. Journal of ShenyangUniversity of Technology,2017,39(2):121-126.)
[7]刘正春,朱长青,王勇,等.负荷冲击性对独立电力系统暂态特性的影响[J].高电压技术,2017,43(10):3443-3452.(LIU Zheng-chun,ZHU Chang-qing,WANG Yong,et al. Influence of impact load on transient characteris-tics of isolated pow er system[J]. High Voltage Engi-neering,2017,43(10):3443-3452.)
[8]张春梅,尹忠科,肖明霞.基于冗余字典的信号超完备表示与稀疏分解[J].科学通报,2006,51(6):628-633.(ZHANG Chun-mei,YIN Zhong-ke,XIAO Ming-xia. The signal supercomplete representation andsparse decomposition based on redundant dictionary[J]. Chinese Science Bulletin,2006,51(6):628-633.)
[9]郭中华,李树庆,王磊,等.自适应阈值的小波去噪改进算法研究[J].重庆邮电大学学报(自然科学版),2015,27(6):740-744.(GUO Zhong-hua,LI Shu-qing,WANG Lei,et al.Improved alorithm w ith auto-adaptive threshold forw avelet image denoising[J]. Journal of ChongqingUniversity of Posts and Telecommunications(NaturalScience Edition),2015,27(6):740-744.)
[10]Mallat S G,Zhang Z. Matching pursuits with time-frequency dictionaries[J]. IEEE Transactions on SignalProcessing,1993,41(12):3397-3415.
[11]徐娟娟,陈晨,杨洪军.基于Gabor滤波器和深度学习的图像检索方法[J].沈阳工业大学学报,2017,39(5):529-534.(XU Juan-juan,CHEN Chen,YANG Hong-jun. Im-age retrieval method based on Gabor filter and deeplearning[J]. Journal of Shenyang University of Tech-nology,2017,39(5):529-534.)
[12]戚宣威,李露,黄晓明,等.区外故障导致变压器电流互感器饱和及差动保护误动问题研究[J].电力系统保护与控制,2017,45(20):44-51.(QI Xuan-wei,LI Lu,HUANG Xiao-ming,et al.Study on the CT saturation and mal-operation of thetransformer current differential protection during exter-nal faults[J]. Pow er System Protection&Control,2017,45(20):44-51.)
[2]彭翌春,何时秋.基于双随机相位估计的无功补偿方法[J].沈阳工业大学学报,2017,39(4):361-365.(PENG Yi-chun,HE Shi-qiu. Reactive power com-pensation method based on double random phase esti-mation[J]. Journal of Shenyang University of Tech-nology,2017,39(4):361-365.)
[3]肖厦颖,李开成,王凌云,等.一种基于小波包变换的电力系统谐波检测方法[J].电测与仪表,2017,54(24):1-6.(XIAO Xia-ying,LI Kai-cheng,WANG Ling-yun,et al. A harmonic detection method for pow er systembased on w avelet packet transform[J]. ElectricalM easurement&Instrumentation,2017,54(24):1-6.)
[4] Zibulevsky M,Pearlmutter B A. Blind source separa-tion by sparse decomposition in a signal dictionary[J]. Neural Computation,2001,13(4):863-882.
[5]要焕年,曹梅月.电力系统谐振接地[M].北京:中国电力出版社,2009:46.(YAO Huan-nian,CAO Mei-yue. Resonant groundedsystem in electric pow er aystems[M]. Beijing:ChinaElectric Pow er Press,2009:46.)
[6]齐仁龙,朱小会,张庆辉.光伏发电系统暂态特性仿真[J].沈阳工业大学学报,2017,39(2):121-126.(QI Ren-long,ZHU Xiao-hui,ZHANG Qing-hui.Simulation for transient characteristics of photovoltaicpow er generation system[J]. Journal of ShenyangUniversity of Technology,2017,39(2):121-126.)
[7]刘正春,朱长青,王勇,等.负荷冲击性对独立电力系统暂态特性的影响[J].高电压技术,2017,43(10):3443-3452.(LIU Zheng-chun,ZHU Chang-qing,WANG Yong,et al. Influence of impact load on transient characteris-tics of isolated pow er system[J]. High Voltage Engi-neering,2017,43(10):3443-3452.)
[8]张春梅,尹忠科,肖明霞.基于冗余字典的信号超完备表示与稀疏分解[J].科学通报,2006,51(6):628-633.(ZHANG Chun-mei,YIN Zhong-ke,XIAO Ming-xia. The signal supercomplete representation andsparse decomposition based on redundant dictionary[J]. Chinese Science Bulletin,2006,51(6):628-633.)
[9]郭中华,李树庆,王磊,等.自适应阈值的小波去噪改进算法研究[J].重庆邮电大学学报(自然科学版),2015,27(6):740-744.(GUO Zhong-hua,LI Shu-qing,WANG Lei,et al.Improved alorithm w ith auto-adaptive threshold forw avelet image denoising[J]. Journal of ChongqingUniversity of Posts and Telecommunications(NaturalScience Edition),2015,27(6):740-744.)
[10]Mallat S G,Zhang Z. Matching pursuits with time-frequency dictionaries[J]. IEEE Transactions on SignalProcessing,1993,41(12):3397-3415.
[11]徐娟娟,陈晨,杨洪军.基于Gabor滤波器和深度学习的图像检索方法[J].沈阳工业大学学报,2017,39(5):529-534.(XU Juan-juan,CHEN Chen,YANG Hong-jun. Im-age retrieval method based on Gabor filter and deeplearning[J]. Journal of Shenyang University of Tech-nology,2017,39(5):529-534.)
[12]戚宣威,李露,黄晓明,等.区外故障导致变压器电流互感器饱和及差动保护误动问题研究[J].电力系统保护与控制,2017,45(20):44-51.(QI Xuan-wei,LI Lu,HUANG Xiao-ming,et al.Study on the CT saturation and mal-operation of thetransformer current differential protection during exter-nal faults[J]. Pow er System Protection&Control,2017,45(20):44-51.)