Abstract：Aiming at the problem of location and identification of micro-grid power quality disturbances with strong noise,a novel method based on modified morphological filter and arc length difference sequence is proposed to locate and identify disturbances.Firstly,the dilation function and the erosion function are separately improved to the mean-dilation function and the mean-erosion function,and the improved alternating hybrid morphological filter is used to filter the power quality signal.Then,on the basis of the analysis of the disturbance waveform and the three typical disturbance examples,the arc length differential sequence of the filtered signal is defined and calculated.Finally,based on the arc length difference sequence,disturbance time is accurately located,the amplitude and peaks characteristics are extracted from the arc length difference sequence and filtered signal.These characteristics are input to the identifier defined by the disturbance identification rules to get the final identification results.The simulation and one practical micro-grid data test shown that the proposed method could accurately locate and identify 5 types of single disturbances and 3 types of complex disturbances mixed with different intensity of noise,and is suitable for the disturbances location and identification of actual micro-grid power quality.
卓金宝,施伟锋,兰莹,张威,卢捷. 基于改进形态滤波器和弧长差分序列的微电网电能质量扰动定位与识别[J]. 电工技术学报, 2017, 32(17): 21-34.
Zhuo Jinbao, Shi Weifeng, Lan Ying, Zhang Wei, Lu Jie. Location and Identification of Micro-Grid Power Quality Disturbances Based on Modified Morphological Filter and Arc Length Differential Sequence. Transactions of China Electrotechnical Society, 2017, 32(17): 21-34.
[1] 申洪明,黄少锋,费彬,等.基于数学形态学的换相失败检测新方法[J].电工技术学报,2016,31(4):170-177. Shen Hongming,Huang Shaofeng,Fei Bin,et al.A new method to detect commutation failure based on mathematical morphology[J].Transactions of China Electrotechnical Society,2016,31(4):170-177. [2] 田小静,冯雨,郭英杰,等.基于小波变换和形态学细化算法的真空电弧形态检测[J].电工技术学报,2015,30(11):110-114. Tian Xiaojing,Feng Yu,Guo Yingjie,et al.Morphological detection of vacuum switching arc based on wavelet transform and morphology edge thinning[J].Transactions of China Electrotechnical Society,2015,30(11):110-114. [3] 舒泓,王毅.基于数学形态滤波和Hilbert变换的电压闪变测量[J].中国电机工程学报,2008,28(1):111-114. Shu Hong,Wang Yi.Voltage flicker detection method based on mathematical morphology filter and hilbert transform[J].Proceedings of the CSEE,2008,28(1):111-114. [4] 董超,刘涤尘,廖清芬,等.基于数学形态学滤波技术和TLS-ESPRIT算法的低频振荡模式辨识研究[J].电力系统保护与控制,2012,40(3):114-118,123. Dong Chao,Liu Dichen,Liao Qingfen,et al.Research on identifying low frequency oscillation modes based on mathematical morphology filtering technique and TLS-ESPRIT algorithm[J].Power System Protection and Control,2012,40(3):114-118,123. [5] 郝晓弘,郝守庆,胡振邦,等.基于模糊自适应形态滤波器和S变换的暂态电能质量扰动检测[J].电力系统保护与控制,2011,39(17):98-102. Hao Xiaohong,Hao Shouqing,Hu Zhenbang,et al.Transient power quality disturbances detection based on fuzzy adaptive mathematical morphology filter and S-transform[J].Power System Protection and Control,2011,39(17):98-102. [6] 雷涛,樊养余,罗维薇,等.矢量自对偶形态学滤波算子[J].自动化学报,2015,41(5):1013-1023. Lei Tao,Fan Yangyu,Luo Weiwei,et al.Vector self-dual morphological filtering operators[J].Acta Automatica Sinica,2015,41(5):1013-1023. [7] 赵昭,刘利林,张承学,等.形态学滤波器结构元素选取原则研究与分析[J].电力系统保护与控制,2009,37(14):21-25,35. Zhao Zhao,Liu Lilin,Zhang Chengxue,et al.Research and analysis of morphology filter′s structure element selection principle[J].Power System Protection and Control,2009,37(14):21-25,35. [8] Zhang Yin,Ji T Y,Li M S,et al.Identification of power disturbances using generalized morphological open-closing and close-opening undecimated wavelet[J].IEEE Transactions on Industrial Electronics,2016,63(4):2330-2339. [9] 黄南天,徐殿国,刘晓胜.基于S变换与SVM的电能质量复合扰动识别[J].电工技术学报,2011,26(10):23-30. Huang Nantian,Xu Dianguo,Liu Xiaosheng.Identification of power quality complex disturbances based on S-transform and SVM[J].Transactions of China Electrotechnical Society,2011,26(10):23-30. [10]陈华丰,张葛祥.基于决策树和支持向量机的电能质量扰动识别[J].电网技术,2013,37(5):1272-1278. Chen Huafeng,Zhang Gexiang.Power quality disturbances identification using decision tree and support vector machine[J].Power System Technology,2013,37(5):1272-1278. [11]徐志超,杨玲君,李晓明.基于聚类改进 S 变换与直接支持向量机的电能质量扰动识别[J].电力自动化设备,2015,35(7):50-58,73. Xu Zhichao,Yang Lingjun,Li Xiaoming.Power quality disturbance identification based on clustering-modified S-transform and direct support vector machine[J].Electric Power Automation Equipment,2015,35(7):50-58,73. [12]吴杰,吕春媚,崔彪.基于小波轮廓描述符和动态时间扭曲的电压扰动分类[J].电工电能新技术,2015,34(4):62-67,80. Wu Jie,Lü Chunmei,Cui Biao.Identification of disturbance signals based on wavelet boundary descriptors and dynamic time warping[J].Advanced Technology of Electrical Engineering and Energy,2015,34(4):62-67,80. [13]韩刚,张建文,禇鑫,等.多特征组合及优化SVM的电能质量扰动识别[J].电力系统及其自动化学报,2015,27(8):71-76,81. Han Gang,Zhang Jianwen,Chu Xin,et al.Power quality disturbance classification based on multi-features combination and optimizing parameters of SVM[J].Proceedings of CSU-EPSA,2015,27(8):71-76,81. [14]Ray P K,Kishor N,Mohanty S R.Islanding and power quality disturbance detection in grid-connected hybrid power system using wavelet and S-transform[J]. IEEE Transactions on Smart Grid, 2012,3(3):1082-1094. [15]覃思师,刘前进.基于STFT变换和DAGSVMs的电能质量扰动识别[J].电力系统保护与控制,2011,39(1):83-86,103. Qin Sishi,Liu Qianjin.Power quality disturbances detection and identification based on STFT transform and DAGSVMs[J].Power System Protection and Control,2011,39(1):83-86,103. [16]徐永海,赵燕.基于短时傅里叶变换的电能质量扰动识别与采用奇异值分解的扰动时间定位[J].电网技术,2011,35(8):174-180. Xu Yonghai,Zhao Yan.Identification of power quality disturbances based on short-term fourier transform and disturbance time orientation by singular value decomposition[J].Power System Technology,2011,35(8):174-180. [17]束洪春.电力工程信号处理应用[M].北京:科学出版社,2009. [18]徐永海,兰巧倩,孔祥雨,等.电压暂降特征值统计分析及暂降传播特性[J].电工技术学报,2016,31(11):165-175. Xu Yonghai,Lan Qiaoqian,Kong Xiangyu,et al.Statistical analysis of voltage sag characteristics and research on sag propagation property[J].Transactions of China Electrotechnical Society,2016,31(11):165-175. [19]Gargoom A M,Ertugrul N,Soong W L.Automatic classification and characterization of power quality events[J].IEEE Transactions on Power Delivery,2008,23(4):2417-2425.
2017, Vol. 32 
