Influence of uncertainties and parameter structural dependencies in distribution system state estimation

Huilian Liao, Jovica V Milanović, Kazi N Hasan, Xiaoqing Tang

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This study evaluates a number of uncertain parameters that affect the accuracy of distribution system state estimation (SE), and ranks their importance using an efficient sensitivity analysis technique, Morris screening method. The influence of the uncertain parameters on SE performance is analysed globally and zonally. Furthermore, the dependence structure between the critical variable and SE 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 SE 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 SE.
    Original languageEnglish
    Pages (from-to)3279-3285
    Number of pages6
    JournalIET Generation, Transmission & Distribution
    Volume12
    Issue number13
    Early online date22 May 2018
    DOIs
    Publication statusPublished - 19 Jul 2018

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