TY - JOUR
T1 - Assessment of a decaying DC offset detector on CTs measurements applying mathematical morphology
AU - Celeita, David
AU - Perez, Juan David
AU - Ramos, Gustavo
N1 - 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; [email protected]; [email protected]).
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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.
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U2 - 10.1109/TIA.2018.2867530
DO - 10.1109/TIA.2018.2867530
M3 - Research Article
AN - SCOPUS:85052632844
SN - 0093-9994
VL - 55
SP - 248
EP - 255
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
IS - 1
M1 - 8450004
ER -