Open AccessInfluence of uncertainties and parameter structural dependencies in distribution system state estimation
Author(s) -
Liao Huilian,
Milanović Jovica V,
Hasan Kazi N,
Tang Xiaoqing
Publication year - 2018
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2017.1906
Subject(s) - copula (linguistics) , bivariate analysis , sensitivity (control systems) , range (aeronautics) , computer science , variable (mathematics) , statistics , mathematics , mathematical optimization , econometrics , engineering , mathematical analysis , electronic engineering , aerospace engineering
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.