Low voltage system state estimation based on smart metering infrastructure

Conference paper

Pau, M, Patti, E, Barbierato, L, Estebsari, A, Pons, E, Ponci, F and Monti, A (2016). Low voltage system state estimation based on smart metering infrastructure. 2016 IEEE International Workshop on Applied Measurements for Power Systems (AMPS). 28 - 30 Sep 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/AMPS.2016.7602804
AuthorsPau, M, Patti, E, Barbierato, L, Estebsari, A, Pons, E, Ponci, F and Monti, A
TypeConference paper
Abstract

© 2016 IEEE. The accurate monitoring of distribution grids is essential to enable the intelligent management and control of future Smart Grids. Several challenges prevent an easy development of the state estimation tools needed to assess the operating conditions of distribution networks. The lack of a suitable measurement infrastructure is one of the most challenging aspects to face. However, in last years, several utilities started a massive deployment of smart meters in their networks. The proper use of these measurements is key to enhance the performance of distribution system state estimators. This paper presents a two-level approach conceived to efficiently include smart meter measurements in low voltage grid state estimation. The proposed solution relies on a cloud-based smart metering architecture, which allows scalability and interoperability among different off-the-shelf meters. Moreover, a suitable design of the estimation algorithm, using the uncertainty propagation theory, is proposed in order to maximize the accuracy of the estimation results. Tests performed on a sample low voltage network show the performance and the main features of the proposed state estimation solution.

Year2016
Journal2016 IEEE International Workshop on Applied Measurements for Power Systems, AMPS 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Digital Object Identifier (DOI)https://doi.org/10.1109/AMPS.2016.7602804
Accepted author manuscript
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Open
Publication dates
Print19 Oct 2016
Publication process dates
Deposited11 May 2020
ISBN9781509023738
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https://openresearch.lsbu.ac.uk/item/89v90

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Low Voltage System State Estimation based on Smart Metering Infrastructure.pdf
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