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A Dynamic Mode Decomposition Scheme to Analyze Power Quality Events
- Source :
- IEEE Access, Vol 9, Pp 70775-70788 (2021)
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- This paper presents a new method for detecting power quality disturbances, such as faults. The method is based on the dynamic mode decomposition (DMD) – a data-driven method to estimate linear dynamics whose eigenvalues and eigenvectors approximate those of the Koopman operator. The proposed method uses the real part of the main eigenvalue estimated by the DMD as the key indicator that a power quality event has occurred. The paper shows how the proposed method can be used to detect events using current and voltage signals to distinguish different faults. Because the proposed method is window-based, the effect that the window size has on the performance of the approach is analyzed. In addition, a study on the effect that noise has on the proposed approach is presented.
- Subjects :
- General Computer Science
Computer science
020209 energy
02 engineering and technology
01 natural sciences
010305 fluids & plasmas
power systems
Electric power system
Dynamic mode decomposition
Operator (computer programming)
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
General Materials Science
signal processing
Eigenvalues and eigenvectors
Noise (signal processing)
General Engineering
power quality
protection
TK1-9971
Time–frequency analysis
Nonlinear distortion
Principal component analysis
Electrical engineering. Electronics. Nuclear engineering
Algorithm
Subjects
Details
- ISSN :
- 21693536
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....ceaa20f67b39bda72a91fbfadc5d466b