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Robust state estimation in distribution networks


Brinkmann, B and Negnevitsky, M, Robust state estimation in distribution networks, Proceedings of the 2016 Australasian Universities Power Engineering Conference (AUPEC 2016), 25-28 September 2016, Brisbane, Australia, pp. 76-80. ISBN 978-1-5090-1406-4 (2016) [Refereed Conference Paper]


Copyright Statement

Copyright 2016 IEEE

DOI: doi:10.1109/AUPEC.2016.07749306


In this paper a new approach to state estimation in distribution networks is proposed. This approach is more robust against large uncertainties of the state estimation inputs than the conventional method. Traditionally, the goal of state estimation was to estimate the exact value of network parameters, such as voltages and currents. This works well in transmission networks where many real time measurements are available. In distribution networks, however, only few real-time measurements are available. This means that the estimated state can be significantly different from the actual network state. Therefore, the focus of the proposed robust state estimation is shifted from estimating the exact values of the network parameters to the confidence that these parameters are within their respective constraints. This approach is able to provide useful results for distribution network operation, even if large uncertainties are present in the estimated network state.

Item Details

Item Type:Refereed Conference Paper
Keywords:distribution network state estimation, load uncertainty, uncertainty quantification
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical energy generation (incl. renewables, excl. photovoltaics)
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Energy services and utilities
UTAS Author:Brinkmann, B (Mr Bernd Brinkmann)
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:114460
Year Published:2016
Deposited By:Engineering
Deposited On:2017-02-15
Last Modified:2017-11-10
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