Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/1709
Title: Research on State Estimation Method of Complex Distribution Network
Authors: Li F.
Huang Q.
Katić, Nenad 
Wu W.
Cai S.
Tang M.
Liu Z.
Issue Date: 30-Mar-2018
Journal: Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China
Abstract: © 2018, Editorial Board of Journal of the University of Electronic Science and Technology of China. All right reserved. The state estimation of complex distribution networks is the most basic function of power grid intelligent operation. The state estimation algorithm of transmission networks usually cannot be directly applied to the distribution networks, it is needed to provide accurate and efficient state estimation in the face of the basic data of distribution networks with different qualities on the condition of power grid operation states. The complex distribution network considered in this paper is modelled according to the characteristics of three-phase unbalance. A state estimation method based on load classification and complex network pruning is presented in detail, the problems of lack of measured data in the distribution network is better solved. Through the field test in an actual distribution network, it is proved that the proposed algorithm is robust, accurate and efficient, and can meet the actual application needs.
URI: https://open.uns.ac.rs/handle/123456789/1709
ISSN: 10010548
DOI: 10.3969/j.issn.1001-0548.2018.02.006
Appears in Collections:FTN Publikacije/Publications

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