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A practical approach to observability analysis and state estimation in distribution networks

Citation

Brinkmann, B and Negnevitsky, M, A practical approach to observability analysis and state estimation in distribution networks, Proceedings of the IEEE Power and Energy Society General Meeting 2016, 17-21 July 2016, Boston, MA, pp. 1-5. ISBN 978-1-5090-4168-8 (2016) [Refereed Conference Paper]


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Copyright Statement

Copyright 2016 IEEE

DOI: doi:10.1109/PESGM.2016.7741271

Abstract

This paper presents a novel approach to distribution network observability. The observability analysis is a part of the state estimation process and traditionally determines whether the state estimation can be performed. This works well in transmission networks, where generally numerous measurements are available. However, in distribution networks only a limited number of measurements are usually available. If real measurements are not available pseudo-measurements with large margins of error are often used instead. This implies that the estimated state of a distribution network can be significantly different from the real network state even if the network is classified as observable. Therefore, this paper proposes a novel approach to distribution network observability, which focuses on the state estimation accuracy. The proposed approach has been tested via simulations on a modified IEEE 34 bus test feeder.

Item Details

Item Type:Refereed Conference Paper
Keywords:observability, state estimation, distributed power generation, measurement uncertainty
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Power and Energy Systems Engineering (excl. Renewable Power)
Objective Division:Energy
Objective Group:Energy Storage, Distribution and Supply
Objective Field:Energy Services and Utilities
Author:Brinkmann, B (Mr Bernd Brinkmann)
Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:114454
Year Published:2016
Deposited By:Engineering
Deposited On:2017-02-15
Last Modified:2017-03-08
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