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Empirical Mode Decomposition Based DC Fault Detection Method in Multi -terminal DC System
被引:0
|作者:
Li, Dongyu
[1
]
Ukil, Abhisek
[1
]
机构:
[1] Univ Auckland, Dept Elect Comp & Software Engn, Auckland, New Zealand
来源:
2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM)
|
2020年
关键词:
Terms DC Fault;
Detection Speed;
Empirical Mode;
Decomposition (EMD);
Characteristic Time Scale (CTS);
Ring Multi-terminal DC (MTDC) System;
LOCATION;
D O I:
暂无
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
The rapid rising rate of de line current after the de fault inception in the high voltage de (HVDC) system proposes a high requirement on the response speed of de fault detection methods. In this paper, a new detection method based on empirical mode decomposition (EMD) is proposed. Unlike traditional parameters including time and frequency, EMD tries to describe the signal by characteristic time scale (CTS) which is suited to analyze non-linear and non-stationary signals such as the fault current. The principle and procedure of this method is illustrated in detail. Generally, this method could detect the de fault within 0.2 ms with enough discrimination to distinguish the fault line and fault-free lines on the 4-bus ring multi -terminal de (MTDC) system in MATLAB/Simulink. In addition, this method could retain its validity free from the interference of noise and filtering. Moreover, a comparison of this EMD based method between wavelet transform (WT) and short time Fourier transform (STFT) is also made to show its fast detection speed.
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