[1] COSTA F B, DRIESEN J. Assessment of voltage sag indices based on scaling and wavelet coefficient energy analysis[J]. IEEE Transactions on Power Delivery, 2012, 27(4): 1-11. [2] 李康瑞,杨洪耕. 基于S变换标准模板相似度的电压暂降分类[J]. 电工技术学报,2010,25(12):139-146. LI Kang-rui, YANG Hong-geng. S-transform based classification for voltage dips according to standard template similarity[J].Transactions of China Electrotechnical Society, 2010, 25(12):139-146. [3] LIN C H, WANG C H. Adaptive wavelet networks for power- quality detection and discrimination in a power system[J]. IEEE Transactions on Power Delivery, 2006, 21(3): 1106-1113. [4] 楼书氢. 配电网中电压暂降的识别与定位[D]. 北京:华北电力大学,2007. [5] 王克星,宋政湘,陈德桂,等. 基于小波变换的配电网电压暂降的干扰源辨识[J]. 中国电机工程学报,2003,23(6):29-34. WANG Ke-xing, SONG Zheng-xiang, CHEN De-gui, et al .Interference source identification of voltage sag in distribution system based on wavelet transform[J]. Proceeding of the CSEE,2003, 23(6): 29-34. [6] 杨杰,王金浩,章雪萌,等. 基于小波多分辨率分析的电压暂降源定位研究[J]. 电力系统保护与控制,2010,38(22):90-95. YANG Jie, WANG Jin-hao, ZHANG Xue-meng, et al . Analysis of voltage sag source location based on wavelet multiresolution method[J]. Power System Protection and Control, 2010, 38(22):90-95. [7] YAN R Q, GAO R X. A tour of the Hilbert-Huang transform:an empirical tool for signal analysis[J]. IEEE Instrumentation & Measurement Magazine, 2007, 10(5): 40-45. [8] 常勇,张平,王聿升. 基于希尔伯特—黄变换的高压直流线路行波保护[J]. 中国电力,2011,44(11):14-18. CHANG Yong, ZHANG Ping, WANG Yu-sheng. HVDC traveling wave protection based on Hilbert-Huang transform[J]. Electric Power, 2011, 44(11): 14-18. [9] HUANG N E, SHEN Z, LONG S R, et al . The empirical mode decomposition and the Hilbert spectrum for nonlinear and non- stationary time series analysis [J]. Proceedings of the Royal Society of London A, 1998, 454: 903-995. [10] 赵臻峰,曾祥君,秦小安,等. 基于希尔伯特—黄变换的超高压输电线路行波差动保护[J]. 中国电力,2011,44(2):10-13. ZHAO Zhen-feng, ZENG Xiang-jun, QIN Xiao-an, et al . HHT based traveling wave differential protection used on EHV transmission line [J]. Electric Power, 2011, 44(2): 10-13. [11] PENG Z K, TSE P W, CHU F L. A comparison study of improved Hilbert-Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing[J]. Mechanical Systems and Signal Processing, 2005, 19(5): 974-988. [12] 丁幼亮,李爱群,邓扬. 面向结构损伤预警的小波包能量谱识别参数[J]. 东南大学学报:自然科学版,2011,41(4):824-828. DING You-liang, LI Ai-qun, DENG Yang. Parameters for identification of wavelet packet energy spectrum for structural damage alarming[J]. Journal of Southeast University: Natural Science Edition, 2011, 41(4): 824-828. [13] 楼书氢,徐永海,陈思黔. 配电网中电压暂降源的检测方法比较[J]. 继电器,2006,34(15):63-67. LOU Shu-qing, XU Yong-hai, CHEN Si-qian. Comparison on methods for voltage sag source detection in power distribution network [J]. Relay, 2006, 34(15): 63-67. [14] 胡鹏飞,汤何美子,李清泉,等. 近区故障瞬态恢复电压计算与分析[J]. 中国电力,2011,44(10):21-24. HU Peng-fei, TANG He-mei-zi, LI Qing-quan, et al . Calculation and analysis of transient recovery voltage of short line fault[J].Electric Power, 2011, 44(10): 21-24. [15] 丁宁,蔡维,锁娟,等. 电压暂降源识别方法研究[J]. 电网技术,2008,32(S2):55-59. DING Ning, CAI Wei, SOU Juan, et al . Research on voltage sag sources recognition method[J]. Power System Technology, 2008, 32(S2): 55-59. [16] 全惠敏,戴瑜兴. 电压暂降的改进S变换分析与分类[J]. 湖南大学学报:自然科学版,2011,38(3):45-50. QUAN Hui-min, DAI Yu-xing. Detection and classification of voltage sags based on modified S-transform[J]. Journal of Hunan University: Natural Sciences, 2011, 38(3): 45-50. [17] 吕干云,方奇品,蔡秀姗. 基于多分类支持向量的电压暂降源识别[J]. 电力系统保护与控制,2010,38(22):151-155. LU Gan-yun, FANG Qi-pin, CAI Xiu-shan. Identification of voltage sags source based on multi-class support vector machine[J]. Power System Protection and Control, 2010, 38(22): 151-155. |