Disturbance detection in the MV and the LV distribution networks using time-domain method
With the growing need for disturbance-free power distribution, there has been significant focus under the ‘Smart Grid’ initiative on fault and disturbance analysis. Compared to the high voltage (HV) transmission systems where high-end relays can be used, medium- and low-voltage (MV, LV) distributio...
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sg-ntu-dr.10356-1050702019-12-06T21:45:36Z Disturbance detection in the MV and the LV distribution networks using time-domain method Ukil, Abhisek School of Electrical and Electronic Engineering IEEE Power & Energy Society General Meeting (2014: National Harbor MD, USA) DRNTU::Engineering::Electrical and electronic engineering With the growing need for disturbance-free power distribution, there has been significant focus under the ‘Smart Grid’ initiative on fault and disturbance analysis. Compared to the high voltage (HV) transmission systems where high-end relays can be used, medium- and low-voltage (MV, LV) distribution systems employ low-end relays for cost reason. Therefore, computationally inexpensive signal processing algorithms are needed for disturbance identification at the MV and the LV distribution systems. In this paper, a novel amplitude tracking square wave concept is presented, which can effectively represent the complex sinusoidal signals under disturbance. The amplitude tracking square wave is very sensitive to any degradation introduced in the sinusoidal signals due to disturbances. These are typically reflected in the time-domain as spikes in the square wave, without requiring any frequency analysis. This makes it particularly attractive for embedding into the MV and the LV relays with limited computational resources. Successful application of the algorithm on real disturbance records substantiate its potential. Accepted version 2014-08-26T01:05:43Z 2019-12-06T21:45:36Z 2014-08-26T01:05:43Z 2019-12-06T21:45:36Z 2014 2014 Conference Paper Ukil, A. (2014). Disturbance detection in the MV and the LV distribution networks using time-domain method. IEEE Power & Energy Society General Meeting (2014: National Harbor MD, USA), 1-5. https://hdl.handle.net/10356/105070 http://hdl.handle.net/10220/20397 http://www.researchgate.net/publication/264250683_Disturbance_Detection_in_the_MV_and_the_LV_Distribution_Networks_Using_Time-Domain_Method en © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [Article URL: http://www.researchgate.net/publication/264250683_Disturbance_Detection_in_the_MV_and_the_LV_Distribution_Networks_Using_Time-Domain_Method]. 5 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Ukil, Abhisek Disturbance detection in the MV and the LV distribution networks using time-domain method |
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With the growing need for disturbance-free power distribution, there has been significant focus under the ‘Smart Grid’ initiative on fault and disturbance analysis. Compared to the high voltage (HV) transmission systems where high-end relays can be used, medium- and low-voltage (MV, LV) distribution systems employ low-end relays for cost reason. Therefore, computationally
inexpensive signal processing algorithms are needed for disturbance identification at the MV and the LV distribution
systems. In this paper, a novel amplitude tracking square wave
concept is presented, which can effectively represent the complex sinusoidal signals under disturbance. The amplitude tracking square wave is very sensitive to any degradation introduced in the sinusoidal signals due to disturbances. These are typically reflected in the time-domain as spikes in the square wave, without requiring any frequency analysis. This makes it particularly attractive for embedding into the MV and the LV relays with limited computational resources. Successful application of the algorithm on real disturbance records substantiate its potential. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Ukil, Abhisek |
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Conference or Workshop Item |
author |
Ukil, Abhisek |
author_sort |
Ukil, Abhisek |
title |
Disturbance detection in the MV and the LV distribution networks using time-domain method |
title_short |
Disturbance detection in the MV and the LV distribution networks using time-domain method |
title_full |
Disturbance detection in the MV and the LV distribution networks using time-domain method |
title_fullStr |
Disturbance detection in the MV and the LV distribution networks using time-domain method |
title_full_unstemmed |
Disturbance detection in the MV and the LV distribution networks using time-domain method |
title_sort |
disturbance detection in the mv and the lv distribution networks using time-domain method |
publishDate |
2014 |
url |
https://hdl.handle.net/10356/105070 http://hdl.handle.net/10220/20397 http://www.researchgate.net/publication/264250683_Disturbance_Detection_in_the_MV_and_the_LV_Distribution_Networks_Using_Time-Domain_Method |
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1681049059003990016 |