NDLI: Least error squared phasor estimation with identification of a decaying DC component

Content Provider	IET Digital Library
Author	Hwang, Jin Kwon
Abstract	A fault current in a power system contains both harmonics and a decaying DC component, which can produce a severe error in phasor estimation of fundamental frequency. Currently, full-cycle discrete Fourier transform phasor estimation is widely used in numerical relays owing to harmonics immunity, which produces easy identification of the decaying DC component. It is desirable to promptly estimate the phasor for a fast protection of the power system. Such promptness is dependent on the data window length of the phasor estimation. The least error squares (LESs) method is effective to achieve this promptness as it can estimate the phasor with a data window length of less than one cycle. This study proposes a phasor estimation method using LES with the data window length less than one cycle. The time constant of the decaying DC is identified through Prony analysis, while the noise effect on the phasor estimation is investigated according to the data window length. The performances of the proposed method are investigated through simulations on time constants of the decaying DC, frequency deviations of the power system, and signal-to-noise ratio. The feasibility of the proposed method is verified to estimate the phasor of a fault transmission line in a MATLAB/Simulink.
Starting Page	1486
Ending Page	1492
Page Count	7
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 7, Apr (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.0446
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-10-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Data Window Length Decaying DC Component Identification Fault Transmission Line Phasor Interpolation And Function Approximation Least Error Squared Phasor Estimation Least Squares Approximation LES Method MATLAB Numerical Analysis Phasor Measurement Power System Frequency Deviations Power System Measurement And Metering Power Transmission Fault Power Transmission, Distribution And Supply Prony Analysis Signal to Noise Ratio Simulink Time Constant
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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