Abstract
Fault current signals that are processed by digital relays consist of dc, fundamental, and harmonic components. Filtering algorithms are necessary to eliminate the dc and harmonic components from these signals. Several algorithms have been proposed for this task which vary in their accuracy, response time, and computational burden. The conventional discrete Fourier transform (DFT) can eliminate harmonics and is commonly used to estimate the fundamental frequency phasor, but its accuracy is lower as it does not filter the dc offset. Other algorithms including variants of DFT attempt to improve the accuracy and response time. This paper proposes a technique that takes into account the exponential variation of the dc offset and more accurately determines the fundamental component. The effectiveness of this method is evaluated by simulation on a two-machine system and also compared against existing phasor measurement methods. Simulations confirm that the proposed method can more accurately estimate the fundamental component compared to the existing methods. © 2016 IEEE
Original language | English |
---|---|
Article number | 7582524 |
Pages (from-to) | 749-756 |
Number of pages | 8 |
Journal | IEEE Transactions on Power Delivery |
Volume | 32 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Apr 2017 |
Fingerprint
Cite this
}
An improved algorithm to remove DC offsets from fault current signals. / Gopalan, Sachit A.; Mishra, Yateendra; Sreeram, Victor; Iu, Herbert Ho Ching.
In: IEEE Transactions on Power Delivery, Vol. 32, No. 2, 7582524, 01.04.2017, p. 749-756.Research output: Contribution to journal › Article
TY - JOUR
T1 - An improved algorithm to remove DC offsets from fault current signals
AU - Gopalan, Sachit A.
AU - Mishra, Yateendra
AU - Sreeram, Victor
AU - Iu, Herbert Ho Ching
PY - 2017/4/1
Y1 - 2017/4/1
N2 - Fault current signals that are processed by digital relays consist of dc, fundamental, and harmonic components. Filtering algorithms are necessary to eliminate the dc and harmonic components from these signals. Several algorithms have been proposed for this task which vary in their accuracy, response time, and computational burden. The conventional discrete Fourier transform (DFT) can eliminate harmonics and is commonly used to estimate the fundamental frequency phasor, but its accuracy is lower as it does not filter the dc offset. Other algorithms including variants of DFT attempt to improve the accuracy and response time. This paper proposes a technique that takes into account the exponential variation of the dc offset and more accurately determines the fundamental component. The effectiveness of this method is evaluated by simulation on a two-machine system and also compared against existing phasor measurement methods. Simulations confirm that the proposed method can more accurately estimate the fundamental component compared to the existing methods. © 2016 IEEE
AB - Fault current signals that are processed by digital relays consist of dc, fundamental, and harmonic components. Filtering algorithms are necessary to eliminate the dc and harmonic components from these signals. Several algorithms have been proposed for this task which vary in their accuracy, response time, and computational burden. The conventional discrete Fourier transform (DFT) can eliminate harmonics and is commonly used to estimate the fundamental frequency phasor, but its accuracy is lower as it does not filter the dc offset. Other algorithms including variants of DFT attempt to improve the accuracy and response time. This paper proposes a technique that takes into account the exponential variation of the dc offset and more accurately determines the fundamental component. The effectiveness of this method is evaluated by simulation on a two-machine system and also compared against existing phasor measurement methods. Simulations confirm that the proposed method can more accurately estimate the fundamental component compared to the existing methods. © 2016 IEEE
KW - DC component
KW - estimation
KW - fundamental component
UR - http://www.scopus.com/inward/record.url?scp=85017575205&partnerID=8YFLogxK
U2 - 10.1109/TPWRD.2016.2615045
DO - 10.1109/TPWRD.2016.2615045
M3 - Article
VL - 32
SP - 749
EP - 756
JO - IEEE Transactions on Power Delivery
JF - IEEE Transactions on Power Delivery
SN - 0885-8977
IS - 2
M1 - 7582524
ER -