Development of switching performance evaluator and arc modelling tool for low-voltage switching devices
Development of switching performance evaluator and arc modelling tool for low-voltage switching devices
Purpose
The main objective of this study is to investigate a reliable evaluator of arc re-ignition and to develop a numerical tool for accurate prediction of arc behaviour of low-voltage switching devices (LVSDs) prior to empirical laboratory testing of real products.
Design/methodology/approach
Two types of interruption tests have been carried out in the investigation of re-ignition evaluators. Arc modelling tool coupled with the load circuit has been developed to predict arc characteristics based on conventional magnetohydrodynamics theory, with special attention given to Lorentz force acting on the arc column and surface phenomena on the splitter plate. The model assumptions have been validated by experimental observation of arc motion and current and voltage waveforms.
Findings
It is found that the exit-voltage across the switching device and the ratio of system to exit-voltage at the current zero point are reliable evaluators for prediction of re-ignition. Where the voltage ratio is positive, instantaneous re-ignition does not occur. Further, the probability of re-ignition is very low if the voltage ratio is in the rage of -1.3 to 0.
Originality/value
It is observed that the voltage ratio can be considered as a reliable global evaluator of re-ignition, which can be used for various types of LVSD test conditions. In addition, it is shown that arc modelling allows a good prediction of the current and voltag
1943-1957
Shin, Dongkyu
1d29980e-4426-416b-858e-1b5c7734183b
Golosnoy, Igor O.
40603f91-7488-49ea-830f-24dd930573d1
McBride, John
d9429c29-9361-4747-9ba3-376297cb8770
Shin, Dongkyu
1d29980e-4426-416b-858e-1b5c7734183b
Golosnoy, Igor O.
40603f91-7488-49ea-830f-24dd930573d1
McBride, John
d9429c29-9361-4747-9ba3-376297cb8770
Shin, Dongkyu, Golosnoy, Igor O. and McBride, John
(2018)
Development of switching performance evaluator and arc modelling tool for low-voltage switching devices.
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 37 (5), .
(doi:10.1108/COMPEL-03-2016-0112).
Abstract
Purpose
The main objective of this study is to investigate a reliable evaluator of arc re-ignition and to develop a numerical tool for accurate prediction of arc behaviour of low-voltage switching devices (LVSDs) prior to empirical laboratory testing of real products.
Design/methodology/approach
Two types of interruption tests have been carried out in the investigation of re-ignition evaluators. Arc modelling tool coupled with the load circuit has been developed to predict arc characteristics based on conventional magnetohydrodynamics theory, with special attention given to Lorentz force acting on the arc column and surface phenomena on the splitter plate. The model assumptions have been validated by experimental observation of arc motion and current and voltage waveforms.
Findings
It is found that the exit-voltage across the switching device and the ratio of system to exit-voltage at the current zero point are reliable evaluators for prediction of re-ignition. Where the voltage ratio is positive, instantaneous re-ignition does not occur. Further, the probability of re-ignition is very low if the voltage ratio is in the rage of -1.3 to 0.
Originality/value
It is observed that the voltage ratio can be considered as a reliable global evaluator of re-ignition, which can be used for various types of LVSD test conditions. In addition, it is shown that arc modelling allows a good prediction of the current and voltag
Text
Article_3ver_all accept of track changes
- Accepted Manuscript
More information
Accepted/In Press date: 2 May 2017
e-pub ahead of print date: 9 August 2018
Identifiers
Local EPrints ID: 417741
URI: http://eprints.soton.ac.uk/id/eprint/417741
ISSN: 0332-1649
PURE UUID: fa0c3ccc-2bcb-407d-8c94-e8562eedbc01
Catalogue record
Date deposited: 21 Oct 2019 17:27
Last modified: 16 Mar 2024 06:00
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Contributors
Author:
Dongkyu Shin
Author:
Igor O. Golosnoy
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