面向电力扰动数据分析的暂态扰动检测

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (2009 KB)
输出: BibTeX | EndNote (RIS)

摘要面向电力扰动数据分析提出了一种暂态电力扰动检测方法。针对IEC推荐的暂态电能质量检测标准中波形对比法的缺陷,将改进型波形对比检测和有效值检测相结合,同时针对电压和电流数据进行检测,对暂态形式的电能质量及非电能质量扰动都具有较高的敏感性。通过应用于现场实测扰动数据表明,该方法能够有效检测出各类暂态电力扰动,较好的解决了检测灵敏度同所需数据量之间的矛盾,能够满足电力扰动数据分析对扰动检测的基本要求。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	朱珂
	倪建
	刘颖英
	孙英涛
	孙媛媛

关键词 ：电力扰动, 数据分析, 扰动检测, 阈值, 电能质量

Abstract：A method to detect transient power disturbance is proposed in this paper for power disturbance data analytics. It combines the improved waveform comparison and RMS method as well as detects both voltage and current data to overcome the defects of waveform comparison method for transient power disturbance detection recommended by IEC. Lots of field power disturbance data is used to verify its effectivity and detect both power quality disturbance and non-power quality disturbance. The proposed method partly relieves the conflict between laborious calculation and detection accuracy and it is qualified to detect transient power disturbance for power disturbance data analytics.

Key words： Power disturbance data analytics disturbance detection threshold power quality

收稿日期: 2015-09-16 出版日期: 2017-02-27

PACS:

TM76

基金资助:山东省重点科技计划(2015GGX104010)和山东省自然科学基金(ZR2013EEM026)资助项目。

通讯作者: 倪建男,1988年生,硕士研究生,研究方向为电力电子技术在电力系统中的应用。E-mail:njhorse123@sina.com(通信作者)

作者简介: 朱珂男,1977年生,副教授,研究方向为电能质量、电力电子技术在电力系统中的应用。E-mail:sduzhuke@hotmail.com

引用本文:

朱珂, 倪建, 刘颖英, 孙英涛, 孙媛媛. 面向电力扰动数据分析的暂态扰动检测[J]. 电工技术学报, 2017, 32(3): 35-44. Zhu Ke, Ni Jian, Liu Yingying, Sun Yingtao, Sun Yuanyuan. Detect Transient Power Disturbance for Power Disturbance Data Analytics. Transactions of China Electrotechnical Society, 2017, 32(3): 35-44.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2017/V32/I3/35

[1] Kasztenny B,Voloh I,Jones C G.Detection of incipient faults in underground medium voltage cables[C]//IEEE Power Systems Conference,2009:1-12.
[2] Sidhu T S,Xu Z.Detection of incipient faults in distribution underground cables[J].IEEE Transactions on Power Delivery,2010,25(3):1363-1371.
[3] 周国亮,朱永利,王桂兰,等.实时大数据处理技术在状态监测领域中的应用[J].电工技术学报,2014,29(增刊1):432-437.
Zhou Guoliang,Zhu Yongli,Wang Guilan,et al.Real-time big data processing technology application in the field of state monitoring[J].Transactions of China Electrotechnical Society,2014,29(S1):432-437.
[4] 曲朝阳,于华涛,郭晓利.基于开启瞬时负荷特征的家电负荷识别[J].电工技术学报,2015,30(增刊1):358-364.
Qu Zhaoyang,Yu Huatao,Guo Xiaoli.The recognition of appliances instantaneous load[J].Transactions of China Electrotechnical Society,2015,30(S1):358-364.
[5] 陈众励,许维胜.电压中断与电压暂降的成因其及防治[J].电工技术学报,2015,30(S1):518-520.
Chen Zhongli,Xu Weisheng.Reason and prevention of voltage interruption and voltage sags[J].Transactions of China Electrotechnical Society,2015,30(S1):518-520.
[6] 徐文远,雍静.电力扰动数据分析学—电能质量监测数据的新应用[J].中国电机工程学报,2013,33(19):93-101.
Xu Wenyuan,Yong Jing.Power disturbance data analytics-new application of power quality monitoring data[J].Proceedings of the CSEE,2013,33(19):93-101.
[7] Poisson O,Rioual P,Meunier M.Detection and measurement of power quality disturbances using wavelet transform[J].IEEE Transactions on Power Delivery,2000,15(3):1039-1044.
[8] 鲁波涌,黄文清.结合小波变换和能量算子的电压暂降检测方法[J].电工技术学报,2011,26(5):171-177.
Lu Boyong,Huang Wenqing.Hybrid wavelet-energy operator method for voltage sag detection[J].Transactions of China Electrotechnical Society,2011,26(5):171-177.
[9] 龙虹毓,张晓勇,胡晓锐,等.蚁群优化小波阈值算法用于变电设备状态信号提取[J].电工技术学报,2015,30(12):422-428.
Long Hongyu,Zhang Xiaoyong,Hu Xiaorui,et al.Extraction of condition signals of electrical plants by ACO wavelet threshold estimation[J].Transactions of China Electrotechnical Society,2015,30(12):422-428.
[10]关维国,姚清志,高阳,等.基于db4小波的配电网暂态电能质量扰动的检测与定位[J].电力系统保护与控制,2015,43(8):102-106.
Guan Weiguo,Yao Qingzhi,Gao Yang,et al.Transient power quality detection and location of distribution network based on db4 wavelet transform[J].Power System Protection and Control,2015,43(8):102-106.
[11]李涛,夏浪,张宇,等.基于提升复小波的暂态电能质量扰动的检测与定位[J].中国电机工程学报,2011,31(25):66-72.
Li Tao,Xia Lang,Zhang Yu,et al.Detection and localization of power quality transient disturbances based on lifting complex wavelet[J].Proceedings of the CSEE,2011,31(25):66-72.
[12]江辉,邹崇杰,谢兴,等.基于集合Kalman滤波的暂态电压扰动检测[J].电力系统保护与控制,2014,42 (14):38-44.
Jiang Hui,Zou Chongjie,Xie Xing,et al.Transient voltage disturbances detection based on Ensemble-Kalman filtering[J].Power System Protection & Control,2014,42(14):38-44.
[13]李钷,张怡茹.基于输入观测器理论的电流谐波检测方法[J].电工技术学报,2016,31(7):136-144.
Li Po,Zhang Yiru.A current harmonics detection method based on input observer theory[J].Transactions of China Electrotechnical Society,2015,31(7):136-144.
[14]陈丽,王硕,孔维功.基于改进S变换的复合电压暂降源识别特征分析[J].电力系统保护与控制,2014,42 (4):27-33.
Chen Li,Wang Shuo,Kong Weigong.Method to identify composite voltage sag disturbance sources based on generalized S-transform[J].Power System Protection and Control,2014,42(4):27-33.
[15]李文江,范祖台,李曌成,等.电网中基于整流电压算法的电压凹陷检测[J].电力系统保护与控制,2014,42(24):99-102.
Li Wenjiang,Fan Zutai,Li Zhaocheng,et al.Detection of voltage sag based on rectified voltage algorithm in grid[J].Power System Protection and Control,2014,42(24):99-102.
[16]IEC Std 61000-4-30.IEC standard for power quality measurement methods[S].
[17]CEA Project Report.CEA national power quality survey[R].Project 220-D-711A,1995.
[18]Li C,Xu W,Hughes B,et al.Virtual PQ troubleshooter[power quality][J].IEEE Power and Energy Magazine,2003,99(3):24-31.
[19]CEA Project Report.Power quality measurement protocol-CEA guide to performing power quality survey[R].Project 220-D-711,1996.