Detection of Power Disturbances using Mathematical Morphology on Small Data Windows



Igna, Dwijaya Saputra, Smith, JS ORCID: 0000-0002-0212-2365 and Wu, QH
(2016) Detection of Power Disturbances using Mathematical Morphology on Small Data Windows. In: 2016 39th International Conference on Telecommunications and Signal Processing (TSP), 2016-6-27 - 2016-6-29, Vienna, Austria.

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Abstract

This paper presents a new method for detecting power disturbances in power distribution systems. The proposed method is based on Mathematical Morphology and operates by initially converting the vector signal into a matrix. The mean value of each row of the new matrix is calculated and then compared with the mean value of the normal signal in order to find the time location of any disturbances. The higher mean value of each row indicates the time location of any disturbances. This strategy has been simulated using Matlab for sag, swell, and voltage interruption. The results show immediate detection when any three of the disturbances occurred.

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: Boundary extraction, dilation, disturbances, erosion, Mathematical Morphology, power quality
Depositing User: Symplectic Admin
Date Deposited: 04 Aug 2016 16:11
Last Modified: 19 Jan 2023 07:32
DOI: 10.1109/tsp.2016.7760862
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3002768