[1]纪萍,吴静妹,陈玲.基于HHT的电能质量暂态扰动信号检测技术[J].长江大学学报(自科版),2017,14(17):53-59.
　JI Ping,Wu Jingmei,Chen Ling.Research on the Detection of Power Quality Transient Disturbance Signals Based on HHT[J].Journal of Yangtze University(Natural Science Edition),2017,14(17):53-59.
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基于HHT的电能质量暂态扰动信号检测技术
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《长江大学学报》（自科版）[ISSN:1673-1409/CN:42-1741/N]

卷:
14
期数:
2017年第17期
页码:
53-59
栏目:
《电子信息工程》
出版日期:
2017-09-10

文章信息/Info

Title:
Research on the Detection of Power Quality Transient Disturbance Signals Based on HHT
文章编号:
1673 1409 (2017)17 0053 07
作者:
纪萍;  吴静妹;  陈玲
河海大学文天学院电气信息工程系, 安徽马鞍山243000
Author(s):
JI Ping;  Wu Jingmei;  Chen Ling
Wentian College, Hohai University, Ma’anshan 243002
关键词:
电能质量; 暂态扰动信号; 希尔伯特黄变换; 经验模态分解法
Keywords:
power quality;  HHT ;  EMD
分类号:
TM711
文献标志码:
A
摘要:
针对电网中暂态扰动信号难以检测这一难题,提出了一种利用HHT (希尔伯特黄变换) 进行处理的新方法。HHT通过经验模态分解法(EMD)和Hilbert变换,在检测非平稳信号的起止时间,频率和幅值有较好的效果。利用HHT分别对暂态谐波、电压中断、电压暂降和电压暂升4类典型的暂态扰动及其复合组合信号进行仿真验证,结果表明该方法可以较准确的实现对电能质量非平稳信号的分析和处理。该研究为电能质量信号的检测提供了新方法,为电网的治理开辟了新思路。
Abstract:
Aimed at the problem that the power quality transient data are difficult to be detected, a detection method of power quality transient disturbance signal based on HHT is proposed. The HHT method can effectively detect the start and end time, frequency and amplitude of the signal by empirical mode decomposition (EMD) and Hilbert transform.HHT can be used to analyze and deal with the typical transient disturbance of transient harmonics, voltage interruption, voltage sag and voltage transient , and the combination of these signal. The simulation results show that the proposed method can accurately analyze and deal with the non-stationary signal of power quality. HHT opens up a new idea for the detection and management of power quality.

参考文献/References:

[1]卡米赛提·拉姆莫汉·饶. 快速傅里叶变换:算法与应用[M]. 北京:机械工业出版社,2016.[2]SantosoS,PowersJ,GradyW M,etal.Powerqualityassessmentviawavelettransformanalysis [J].IEEETransactionsonPowerDelivery,1996,11 (2):924~930.[3]AngrisniL,DaponteP,DapuzzoM,etal.A measurementmethodbasedonthewavelettransformforpowerqualityanalysis [J].IEEETransactionsonPowerDelivery,1998,13 (4):990~998.[4]陈娟.Hilbert-Huang变换及其在信号处理中的应用[D]. 大连:大连理工大学,2006.[5]HuangW,ShenZ,HuangNE,etal.Useofintrinsicmodesinbiology:examplesofindicialresponseofpulmonarybloodpressuretostephypoxia [J].PNAS,1998 (95):12766~12771.[6]HuangNE,ChernCC,HuangK,etal.Anewspectralrepresentationofearthquakedata:hilbertspectralanalysisofstationtcu129[J].BulletinoftheSeismologicalSocietyofAmerica,2001,91 (5):1310~1338.[7]OlhedeS,WaldAT.Thehilbertspectrumviawaveletprojections [J].ProcRSocA,2004 (460):955~975.[8]Gargoom A M,ErtugrulN,SoongWL.Automaticclassificationandcharacterizationofpowerqualityevents[J].IEEETransactionsonPowerDelivery,2008,23 (4):2417~2425.[9]张全明,刘会金. 最小二乘支持向量机在电能质量扰动分类中的应用[J]. 中国电机工程学报,2008,28 (1):106~110.[10]UyarM,YildirimS,GencogluM T.AnexpertsystembasedonS-transformandneuralnetworkforautomaticclassificationofpowerqualitydisturbances[J].ExpertSystemswithApplications,2009,36:5962~5975.

备注/Memo

备注/Memo:
[基金项目] 安徽省高等学校省级质量工程项目(2016jxtd104)。
[作者简介] 纪萍(1980-), 女, 硕士, 讲师, 现主要从事电力系统信号控制检测处理等方面的教学与研究工作, 471374754@qq.com。
更新日期/Last Update: 2017-10-18