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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/86990

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/86990

    Title: Discussions on Covariance Matrix of Kalman Filter for Power System Harmonic Analysis
    Authors: Cheng-I Chen;Yeong-Chin Chen
    Contributors: 資訊工程學系
    Keywords: extended Kalman filter, harmonics, covariance matrix.
    Date: 201406
    Issue Date: 2014-11-13 14:56:26 (UTC+8)
    Abstract: Extended Kalman filter is an efficient method for
    harmonic analysis in power system because of its good noise
    immunity and ability to track the frequency variation. When
    the filter reaches steady-state, it becomes less sensitive to
    variations and begins losing tracking ability. This problem
    can be improved by setting the suitable noise covariance
    matrix. This paper discusses the effect on the level of noise
    covariance matrix.
    Relation: 2014 International Symposium on Computer, Consumer and Control(IS3C)
    Appears in Collections:[資訊工程學系] 期刊論文

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