Power Quality Disturbance Identification Method Based on VMD-SAST

doi:10.11930/j.issn.1004-9649.202311091

Abstract

Abstract:

Complex power quality disturbances (PQDs) caused by large-scale grid-connection of renewable energy and wide application of power electronic equipment will threaten the safe and stable operation of power system. Aiming at the difficulty of accurate detection and recognition of complex PQDs, a PQDs detection and recognition method based on variational mode decomposition (VMD) and synchrosqueezing adaptive S-transform (SAST) is proposed. Firstly, the VMD is used to PQDs signals into multiple modal components, with each component only preserving local disturbance features so as to reduce the complexity of PQDs signals. Secondly, a SAST time-frequency analysis method is proposed to improve the time-frequency resolution, concentrate the energy distribution in the spectrum and improve the detection accuracy of PQDs signals. Finally, the disturbance features are extracted based on VMD-SAST, and the PQDs signals are classified and recognized by 3 algorithms respectively. The simulation results show that the proposed method has high PQDs classification and recognition accuracy, high applicability and strong anti-noise ability.

Key words: power quality disturbances, variational mode decomposition, feature extraction, machine learning

Bozhi ZHANG, Ru ZHANG, Dongxiang JIAO, Longyu WANG, Yifan ZHOU, Lixia ZHOU. Power Quality Disturbance Identification Method Based on VMD-SAST[J]. Electric Power, 2024, 57(2): 34-40.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202311091

https://www.electricpower.com.cn/EN/Y2024/V57/I2/34

Figures/Tables 7

Fig.1 16 types of PQDs signals

Fig.2 VMD and EMD decomposition results of o-type PQD signal

Fig.3 SAST and ST analysis results of o-type PQD signal

Fig.4 Distribution of features extracted by 3 methods

Fig.5 Classification accuracy of 16 types of PQDs

Fig.6 Classification accuracy with different noise

Table 1 Classification accuracy of 4 types of PQDs with 30 dB noise

扰动类型	分类精度/%
扰动类型	方法1	方法4
h	95.37	56.43
k	95.30	65.80
m	97.37	83.60
l	97.40	78.67

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