The influence of uncertainties and parameter structural dependencies in distribution system state estimation

LIAO, Huilian, MILANOVIĆ, Jovica V., HASAN, Kazi N. and TANG, Xiaoqing (2018). The influence of uncertainties and parameter structural dependencies in distribution system state estimation. IET Generation, Transmission & Distribution, 12 (13), 3279-3285.

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Link to published version:: https://doi.org/10.1049/iet-gtd.2017.1906
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    Abstract

    This paper evaluates a number of uncertain parameters that affect the accuracy of distribution system state estimation, and ranks their importance using an efficient sensitivity analysis technique, Morris screening method. The influence of the uncertain parameters on state estimation performance is analysed globally and zonally. Furthermore the dependence structure between the critical variable and state estimation accuracy is analysed using copula to establish their relationship at different section of the bivariate space. The sensitivity of the critical parameter at different ranges is also studied and ranked using Morris screening methods to present the variation of state estimation performance when the critical variable is allocated at different sections within the feasible range. Accurate assessment of the importance of various uncertain parameters and the analysis of the dependence structure can inform power system operators which parameters will require the greatest levels of mitigation or increased monitoring accuracy in order to have satisfactory performance of distribution system state estimation.

    Item Type: Article
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Engineering Research
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Engineering and Mathematics
    Identification Number: https://doi.org/10.1049/iet-gtd.2017.1906
    Page Range: 3279-3285
    Depositing User: Huilian Liao
    Date Deposited: 21 Mar 2018 09:37
    Last Modified: 18 Mar 2021 07:24
    URI: http://shura.shu.ac.uk/id/eprint/18987

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