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A practical approach to meter placement in distribution networks

Citation

Brinkmann, B and Scott, R and Bicevskis, K and Negnevitsky, M, A practical approach to meter placement in distribution networks, Proceedings from the 2017 IEEE Manchester PowerTech, 18-22 June 2017, Manchester, United Kingdom, pp. 192-197. ISBN 9781509042388 (2017) [Refereed Conference Paper]


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DOI: doi:10.1109/PTC.2017.7980822

Abstract

This paper presents a novel approach to the optimal meter placement problem in distribution networks. Conventional methods place meters in order to achieve a predefined level of accuracy for the estimated parameters such as voltages and currents. However, there is no generic method to determine this desired accuracy value for the individual parameters. Hence, a uniform accuracy value is generally chosen. Considering that parameters which are not in proximity to their constraint do not need to be monitored with a high level of accuracy, using a uniform accuracy for every estimated parameter may not be optimal. The method proposed in this paper takes a new approach which accounts for the proximity of the estimated parameters to their constraints. This approach can potentially reduce the number of required metering devices compared to conventional meter placement methods, while providing a practical level of state estimation accuracy.

Item Details

Item Type:Refereed Conference Paper
Keywords:optimal meter placement, uncertainty, power system measurements, distribution network state estimation
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Control Systems, Robotics and Automation
Objective Division:Manufacturing
Objective Group:Machinery and Equipment
Objective Field:Machinery and Equipment not elsewhere classified
UTAS Author:Brinkmann, B (Mr Bernd Brinkmann)
UTAS Author:Scott, R (Mr Robert Scott)
UTAS Author:Bicevskis, K (Mr Karl Bicevskis)
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:124537
Year Published:2017
Deposited By:Engineering
Deposited On:2018-02-23
Last Modified:2018-06-18
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