Series arcing detection by algebraic derivative of the current

被引:37
|
作者
Tisserand, Etienne [1 ]
Lezama, Jinmi [1 ]
Schweitzer, Patrick [1 ]
Berviller, Yves [1 ]
机构
[1] Univ Lorraine, Inst Jean Lamour, Equipe Mesures & Architectures Elect, F-54000 Nancy, France
关键词
Arc fault; Arc detection; Algebraic derivative; Derivative filter; Domesticloads; AC/DC supply; MODEL; MAYR;
D O I
10.1016/j.epsr.2014.09.011
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We present in this paper an algebraic derivative method of the line current in order to detect the presence of series arcs in an AC or DC electrical installation. The first derivative is computed from a limited Taylor-McLaurin series transposed in Laplace space. The temporal estimation is achieved by integration over a sliding window of the product of a particular polynomial with the instantaneous current. The discrete version can be synthesized by a simple FIR filter. The tests, with and without series arc, are conducted on experimental currents (3-12 A) measured on domestic loads (resistors, vacuum drill, dimmer). The sampling frequency is set to 1 MHz. Short integration times (50 mu s in AC and 200 is in DC) are sufficient to observe, with high contrast, the derivative peaks due to the arc ignition. The detection is then performed by comparing the derivation filter output to its instantaneous noise level. The response time is equal to the integration duration. This method, simple to set up and easy to implement, is ideally suited for installations that do not use load switching current. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:91 / 99
页数:9
相关论文
共 50 条
  • [1] Detection of series arcing in low-voltage electrical installations
    Hadziefendic, Nedzad
    Kostic, Miomir
    Radakovic, Zoran
    [J]. EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 2009, 19 (03): : 423 - 432
  • [2] Research on Alternating Current Series Arcing of in More Electric Aircraft System
    Jiang Jun
    Hong Yinqiu
    Zhao Mingxin
    Wu Shuqun
    Zhang Chaohai
    Xu Wanli
    Feng Yuan
    [J]. 2017 4TH INTERNATIONAL CONFERENCE ON ELECTRIC POWER EQUIPMENT-SWITCHING TECHNOLOGY (ICEPE-ST), 2017, : 681 - 684
  • [3] Detection of dry-band arcing using time series modeling
    El-Hag, AH
    [J]. 2004 ANNUAL REPORT CONFERENCE ON ELECTRICAL INSULATION AND DIELECTRIC PHENOMENA, 2004, : 615 - 618
  • [4] Detection of arcing faults on overhead lines from voltage and current signals
    Zoric, KJ
    Djuric, MB
    Terzija, VV
    [J]. ELECTRIC MACHINES AND POWER SYSTEMS, 1997, 25 (07): : 745 - 755
  • [5] Arcing faults detection on power lines from the voltage and current signals
    Duric, MB
    Radojevic, ZM
    Terzija, VV
    [J]. ELECTRICAL ENGINEERING, 1996, 79 (03): : 213 - 218
  • [6] ALGEBRAIC DERIVATIVE
    PRZEWORS.D
    [J]. STUDIA MATHEMATICA, 1970, 38 (1-5) : 443 - &
  • [7] AN ALGEBRAIC DERIVATIVE-BASED METHOD FOR R WAVE DETECTION
    Rezk, Sonia
    Join, Cedric
    El Asmi, Sadok
    [J]. 19TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2011), 2011, : 1578 - 1582
  • [8] The State-of-the-Art Methods for Digital Detection and Identification of Arcing Current Faults
    Saleh, Saleh A.
    Valdes, Marcelo E.
    Mardegan, Claudio Sergio
    Alsayid, Basim
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2019, 55 (05) : 4536 - 4550
  • [9] A DISCRETE ALGEBRAIC DERIVATIVE
    LORD, ME
    [J]. JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 1969, 25 (03) : 701 - &
  • [10] A CHARACTERIZATION OF ALGEBRAIC DERIVATIVE
    PRZEWORS.D
    [J]. BULLETIN DE L ACADEMIE POLONAISE DES SCIENCES-SERIE DES SCIENCES MATHEMATIQUES ASTRONOMIQUES ET PHYSIQUES, 1969, 17 (09): : 537 - &