Performance of a Voltage Peak Detection-Based Flickermeter

被引:0
|
作者
Drapela, Jiri [1 ]
机构
[1] Brno Univ Technol, Dept Elect Power Engn, Techn 2848-8, Brno 61600, Czech Republic
关键词
Interharmonics; Voltage fluctuation; Voltage peak detection; Flickermeter; Performance analysis; Matlab Simulink; INTERHARMONICS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Voltage fluctuations and rapid voltage changes lead to lamps flickering and disturbance of visual perception may occur consequently. For evaluation of the flicker severity level by means of voltage measurement there was developed an instrument called flickermeter, which is based on a reference incandescent bulb human eye brain of average observer chain response modeling. The signal processing technique implemented in a standard flickermeter, standardized by international standard bodies, simulates fundamental behavior of the reference incandescent bulb which is sensitive mainly to low-frequency amplitude modulation of the voltage. The voltage magnitude fluctuation could be introduced also by subharmonic and/or interharmonic components superimposed on a voltage waveform. In frequency domain, the boundary interharmonic frequency of a amplitude voltage modulation is approx. double of the fundamental system frequency (f(1)) and the response of the standard flickermeter to the interharmonic voltages is also up to frequency of 2*f(1). However high-frequency voltage interharmonics at frequencies over 2*f(1) beating with voltage fundamental waveform are likewise able to produce the disturbing light flicker. It applies to all types of lamps, except the incandescent one and the instrument is expected to properly work and measure also the effects of these interharmonics. The paper presents a new type of flickermeter utilizing proposed signal processing approach to high-frequency interharmonic voltage flicker detection which is based on voltage peak detection. Realization of the new flickermeter type in Matlab Simulink is discussed and its characteristics in terms of numerical simulations are shown.
引用
收藏
页码:296 / +
页数:2
相关论文
共 50 条
  • [1] A Flickermeter based on Voltage Peak Detection Method - Part II: Standardize Verification and Performance in Real Deployment
    Slezingr, Jan
    Drapela, Jiri
    PROCEEDINGS OF THE 13TH INTERNATIONAL SCIENTIFIC CONFERENCE ELECTRIC POWER ENGINEERING 2012, VOLS 1 AND 2, 2012, : 443 - 448
  • [2] A Flickermeter Based on Voltage Peak Detection Method - Part I: LabView Implementation
    Drapela, Jiri
    Slezingr, Jan
    PROCEEDINGS OF THE 13TH INTERNATIONAL SCIENTIFIC CONFERENCE ELECTRIC POWER ENGINEERING 2012, VOLS 1 AND 2, 2012, : 437 - 442
  • [3] Peak Position Detection-Based Acquisition Algorithm of Multiple Access Interference Resistance
    Hao, Weina
    Chen, Jingyao
    CHINA SATELLITE NAVIGATION CONFERENCE (CSNC) 2016 PROCEEDINGS, VOL II, 2016, 389 : 29 - 46
  • [4] Toward a new flickermeter based on voltage spectral analysis
    Gallo, D
    Langella, R
    Testa, A
    ISIE 2002: PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-4, 2002, : 573 - 578
  • [5] Voltage Detection-Based Selective Harmonic Current Compensation Strategies for Photovoltaic Inverters
    Callegari, Joao Marcus S.
    de Oliveira, Andre L. P.
    Xavier, Lucas S.
    Cupertino, Allan F.
    Brandao, Danilo I.
    Pereira, Heverton A.
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2023, 38 (03) : 1602 - 1613
  • [6] A selection of a voltage transducer for a flickermeter
    Graczyk, Adam
    Szczesny, Artur
    Pacholski, Krzysztof
    PRZEGLAD ELEKTROTECHNICZNY, 2012, 88 (11A): : 119 - 122
  • [7] A Fast Voltage Sag Detector Based on Peak Detection
    Sillapawicharn, Yutthachai
    2015 12TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY (ECTI-CON), 2015,
  • [8] Performance analysis of energy detection-based spectrum sensing in κ-μ shadowed fading
    Aloqlah, M.
    ELECTRONICS LETTERS, 2014, 50 (25) : 1944 - 1945
  • [9] Anomaly detection-based condition monitoring
    Kas, M.
    Wamba, F. F.
    INSIGHT, 2022, 64 (08) : 453 - 458
  • [10] An anomaly detection-based classification system
    Hou, Haiyu
    Dozier, Gerry
    2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6, 2006, : 2223 - 2230