Issue |
E3S Web Conf.
Volume 58, 2018
Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2018)
|
|
---|---|---|
Article Number | 03010 | |
Number of page(s) | 5 | |
Section | Energy Security, Reliability and Quality of Energy Consumption, Modeling and Information Technology | |
DOI | https://doi.org/10.1051/e3sconf/20185803010 | |
Published online | 10 October 2018 |
Methods of linear and nonlinear state estimation of distribution network
Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Department of Electric Power System, 664033Lermontov str., 130, Irkutsk, Russia
* Corresponding author: golub@isem.irk.ru
The paper proposes a new approach to the problem of state estimation of a low voltage distribution network by the measurements coming from smart meters. The problem of nonlinear state estimation based on the measurements of nodal powers and voltages is solved by the method of simple iteration which minimizes the quadratic function of the residues with and without the consideration of the constraint on the zero currents in the transit nodes. The same algorithms are proposed to use for linear state estimation based on the measurements of nodal currents and voltages. The effectiveness of the proposed methods for linear and nonlinear state estimation is illustrated on the 33 nodes three-phase four-wire low-voltage network.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.