Harmonic distortion analysis software combining EMTP and Monte Carlo method

被引:0
|
作者
Bellomo, Luis Daniel [1 ]
Olivier, Guy [1 ]
机构
[1] Ecole Polytech, Dept Elect Engn, Stn Ctr Ville, Montreal, PQ H3C 3A7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
stochastic simulation; harmonics; Monte Carlo process; EMTP; distribution system;
D O I
10.1016/j.matcom.2006.02.014
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Usually, harmonic load flow studies are based on deterministic solutions. Very often, the measured distortion levels are less severe than those predicted by the models but often show the presence of noncharacteristic harmonics that do not exit in simulation results. This is due to the fact that the harmonic generation is a stochastic process. It is particularly true in the case of loads made of a multitude of small nonlinear loads such as computer power supplies. The minute differences between the individual loads must be taken into account. An auxiliary module was added to the well-known ATP/EMTP software to randomly vary several simulation parameters. Using Monte Carlo iterative process much more realistic distortion levels are obtained. Crown Copyright (c) 2006 Published by Elsevier B.V. on behalf of IMACS. All rights reserved.
引用
收藏
页码:299 / 309
页数:11
相关论文
共 50 条
  • [41] Development of Structural Dynamic Analysis Software of Truss Structure Using Monte Carlo Finite Element Method
    Ichsan, Muhammad
    Handayanu
    Wisudawan, Agro
    5TH INTERNATIONAL SEMINAR ON OCEAN AND COASTAL ENGINEERING, ENVIRONMENTAL AND NATURAL DISASTER MANAGEMENT (ISOCEEN 2017), 2018, 177
  • [42] Monte Carlo method
    Volz, Sebastian
    MICROSCALE AND NANOSCALE HEAT TRANSFER, 2007, 107 : 133 - 154
  • [43] THE MONTE CARLO METHOD
    METROPOLIS, N
    ULAM, S
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1949, 44 (247) : 335 - 341
  • [44] EVALUATION OF DISTORTION IN F.M. TRUNK RADIO SYSTEMS BY A MONTE CARLO METHOD
    MEDHURST, RG
    ROBERTS, JH
    PROCEEDINGS OF THE INSTITUTION OF ELECTRICAL ENGINEERS-LONDON, 1966, 113 (04): : 570 - +
  • [45] Distortion prediction during sintering using Monte Carlo method implemented with virtual springs
    Matsuda, Tetsushi
    INTERNATIONAL JOURNAL OF CERAMIC ENGINEERING AND SCIENCE, 2022, 4 (04): : 270 - 280
  • [46] Transport in Nanostructures: A Comparative Analysis Using Monte Carlo Simulation, the Spherical Harmonic Method, and Higher Moments Models
    Vasicek, M.
    Sverdlov, V.
    Cervenka, J.
    Grasser, T.
    Kosina, H.
    Selberherr, S.
    LARGE-SCALE SCIENTIFIC COMPUTING, 2010, 5910 : 443 - 450
  • [47] Mechanical reliability analysis of nanoencapsulated phase change materials combining Monte Carlo technique and the finite element method
    Forner-Escrig, Josep
    Mondragon, Rosa
    Hernandez, Leonor
    Palma, Roberto
    MECHANICS OF MATERIALS, 2021, 158
  • [48] Uncertainty analysis for the experimental estimation of heat transfer correlations combining the Wilson plot method and the Monte Carlo technique
    Sieres, J.
    Campo, A.
    INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2018, 129 : 309 - 319
  • [49] Harmonic tracking using sequential Monte Carlo
    Dubois, Corentin
    Davy, Manuel
    2005 IEEE/SP 13th Workshop on Statistical Signal Processing (SSP), Vols 1 and 2, 2005, : 1212 - 1216
  • [50] Monte Carlo simulation of harmonic generation in InP
    Adorno, DP
    Zarcone, M
    Ferrante, G
    LASER AND PARTICLE BEAMS, 2001, 19 (01) : 81 - 84