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Published (Version of Record)CC BY V4.0, Open Access
Journal article
Decaying DC offset current mitigation in phasor estimation applications: A Review
Energies, Vol.15(14), Article 5260
2022
Abstract
Decaying DC (DDC) offset current mitigation is a vital challenge in phasor current estimation since it causes malfunctioning/maloperation of measurements and protection systems. Due to the inductive nature of electric power systems, the current during fault inception cannot change immediately and it contains a transient oscillation. The oscillatory component acts similar to an exponential DC signal and its characteristics depend on the X/R ratio of the system, fault location, and fault impedance. DDC attenuates accurate phasor estimation, which is pivotal in protection systems. Therefore, the DDC must be eliminated from the fault current (FC) signal. This paper presents an overview of DDC mitigation methods by considering different groups—before the discrete Fourier transform (pre-DFT), after the discrete Fourier transform (post-DFT), the least square-based (LS-based), and other methods. Through a comprehensive review of the existing schemes, the effects of noise, harmonics, multiple DDCs (MDDCs), and off-nominal frequency (ONF) on the accuracy of DDC estimation, were recognized. A detailed discussion (along with some simulation results) are presented to address the main advantages/disadvantages of the past studies. Finally, this paper presents a few suggestions for future researchers, for researchers to investigate more implementable solutions in this field.
Details
- Title
- Decaying DC offset current mitigation in phasor estimation applications: A Review
- Authors/Creators
- S. Mohammadi (Author/Creator) - University of ZanjanA. Mahmoudi (Author/Creator)S. Kahourzade (Author/Creator)A. Yazdani (Author/Creator)GM. Shafiullah (Author/Creator)
- Publication Details
- Energies, Vol.15(14), Article 5260
- Publisher
- MDPI
- Identifiers
- 991005544092107891
- Copyright
- © 2022 by the authors
- Murdoch Affiliation
- School of Engineering and Energy; Centre for Water, Energy and Waste
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
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- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.18 Power Systems & Electric Vehicles
- 4.18.1055 Fault Detection
- Web Of Science research areas
- Energy & Fuels
- ESI research areas
- Engineering