Open AccessHalf‐cycle method for exponentially DC components elimination applicable in phasor estimation
Author(s) -
Tajdinian Mohsen,
Seifi Ali Reza,
Allahbakhshi Mehdi
Publication year - 2017
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2017.0028
Subject(s) - phasor , dc bias , harmonics , fundamental frequency , protective relay , waveform , control theory (sociology) , electronic engineering , computer science , offset (computer science) , discrete fourier transform (general) , relay , fourier transform , algorithm , electric power system , mathematics , engineering , voltage , power (physics) , fourier analysis , electrical engineering , short time fourier transform , physics , mathematical analysis , control (management) , quantum mechanics , artificial intelligence , acoustics , programming language
Decaying DC component has considerable effect on both accuracy and speed of convergence in numerical and digital relays for estimating fundamental phasor. Basically, this component causes unwanted and undesired oscillations in the time response of the fundamental phasor. As a result, it extremely affects decision making of the protective relay, which operates according to fundamental phasor component. In this study, a novel hybrid algorithm based on integration and half‐cycle discrete Fourier transform (HDFT) is presented. Proposed method of this study is able to efficiently estimate fundamental frequency component by taking different parameters, including DC offset in the fault current, DC offset in a current transformer secondary side and off‐nominal frequency condition into account. Moreover, in this study, modified DFT‐based method for phasor estimation that is called combined integration and HDFT (CIHDFT) is put forward, which accurately estimates the original value of fundamental frequency phasor in half‐cycle by considering the presence of harmonics in the waveforms. The proposed method is successfully applied to different test cases, followed by discussion on the results. Analysing the simulation results, it can be concluded that CIHDFT algorithm has remarkable performance in comparison with previous phasor estimation algorithms.