Application of Improved VMD-HT in Power Quality Disturbance Detection
[1]LIAO Xiaohui,CHEN Chuanchuan.Application of Improved VMD-HT in Power Quality Disturbance Detection[J].Journal of Zhengzhou University (Engineering Science),2021,42(01):21-27.[doi:10.13705/j.issn.1671-6833.2021.01.004]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
42卷
Number of periods:
2021 01
Page number:
21-27
Column:
Public date:
2021-03-14
- Title:
- Application of Improved VMD-HT in Power Quality Disturbance Detection
- Keywords:
- power quality disturbance; energy convergence factor; PSO; VMD-HT; HHT
- CLC:
- TM930
- DOI:
- 10.13705/j.issn.1671-6833.2021.01.004
- Abstract:
- To solve the problems of low power quality disturbance detection accuracy and weak anti-interference, a VMD-HT method based on energy convergence factor and PSO optimization was proposed in this paper. Firstly, the improved VMD method was used to adaptively select the optimal values of k and α, and then the Hilbert transform was used to obtain the instantaneous amplitude-frequency simulation diagram of the IMF component after VMD decomposition, and to locate the start and end moments of the disturbance to realize the power quality disturbance detection. By adding white noise to simulate the actual power quality disturbance and randomly changing the start and end time of the power quality disturbance mathematical model, a large number of detection simulation experiments were conducted. The detection accuracy of the start and end moments of the transient oscillation disturbance signal in an environment containing 20 dB white noise, compares with the HHT, increased by 0.007 s and 0.006 s respectively, and the probability of its detection error within 0.003 s reaches 99.84%. The detection simulation results of composite power quality disturbances also showed that the improved VMD-HT method had better detection effect than the traditional HHT power quality disturbance detection method, and could avoid the problems of low detection accuracy, weak anti-interference and poor fault tolerance due to the phenomenon that EMD was prone to modal aliasing.
- References:
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Last Update:
2021-03-15