Assessment of a decaying DC offset detector on CTs measurements applying mathematical morphology

David Celeita; Juan David Perez; Gustavo Ramos

doi:10.1109/TIA.2018.2867530

Assessment of a decaying DC offset detector on CTs measurements applying mathematical morphology

David Celeita, Juan David Perez, Gustavo Ramos

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

Power system protections are highly sensitive to decaying dc offset that could appear when a fault occurs. The consequences of this effect represent a challenge in the coordination of protection devices that have been widely studied. The elimination of the dc offset component of current transformers (CTs) measurements is the objective of this paper, including a new autonomous detector based on mathematical morphology. The idea enhances the digital signal processing to prepare the information before the protective device takes a decision. The detection and fast elimination of the decaying dc offset on current signals could improve the speed of protection, coordination, and selectivity. The paper presents the proposed algorithm and assesses the solution using alternative transient program. The model of the CT used for this validation is also presented. Results show the potential of the mathematical morphology for signal processing to delete the dc offset component.

Original language	English (US)
Article number	8450004
Pages (from-to)	248-255
Number of pages	8
Journal	IEEE Transactions on Industry Applications
Volume	55
Issue number	1
DOIs	https://doi.org/10.1109/TIA.2018.2867530
State	Published - Jan 1 2019
Externally published	Yes

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

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10.1109/TIA.2018.2867530

Cite this

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title = "Assessment of a decaying DC offset detector on CTs measurements applying mathematical morphology",

abstract = "Power system protections are highly sensitive to decaying dc offset that could appear when a fault occurs. The consequences of this effect represent a challenge in the coordination of protection devices that have been widely studied. The elimination of the dc offset component of current transformers (CTs) measurements is the objective of this paper, including a new autonomous detector based on mathematical morphology. The idea enhances the digital signal processing to prepare the information before the protective device takes a decision. The detection and fast elimination of the decaying dc offset on current signals could improve the speed of protection, coordination, and selectivity. The paper presents the proposed algorithm and assesses the solution using alternative transient program. The model of the CT used for this validation is also presented. Results show the potential of the mathematical morphology for signal processing to delete the dc offset component.",

author = "David Celeita and Perez, {Juan David} and Gustavo Ramos",

note = "Funding Information: Manuscript received January 3, 2018; revised July 27, 2018; accepted July 29, 2018. Date of publication August 28, 2018; date of current version December 12, 2018. Paper 2018-PSPC-0028.R1, presented at the 2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference, Niagara Falls, ON, Canada, May 7–10, 2018, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Power Systems Protection Committee of the IEEE Industry Applications Society. This work was supported by the Administrative Department of Science, Technology, and Innovation of Colombia COLCIENCIAS under Grant 617 for doctoral students. (Corresponding author: David Celeita.) The authors are with the Department of Electrical and Computer Engineering, Universidad de los Andes, Bogota 111711, Colombia (e-mail:, df.celeita10@ uniandes.edu.co; jd.perez2691@uniandes.edu.co; gramos@uniandes.edu.co). Publisher Copyright: {\textcopyright} 1972-2012 IEEE.",

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Assessment of a decaying DC offset detector on CTs measurements applying mathematical morphology

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