Transient Stability Assessment Method for Multi-machine Power Systems Considering Dense Channels

doi:10.11930/j.issn.1004-9649.202501042

Abstract

Abstract:

To improve the accuracy and efficiency of power system transient stability assessment, a transient stability assessment method for multi-machine power system considering dense channel based on deep transfer is proposed. Firstly, a new transient stability index is proposed, and a data set and fluctuation equation of power system considering dense channel are established. Secondly, a deep transfer learning method for transient stability assessment using a pre-trained deep convolutional neural network is proposed. Finally, the effectiveness and efficiency of the proposed method are verified by simulation.

Key words: transient stability assessment, deep transfer learning, dense channels, multi-machine power systems

WANG Xuejun, FANG Shuiping, CHI Guangyong. Transient Stability Assessment Method for Multi-machine Power Systems Considering Dense Channels[J]. Electric Power, 2025, 58(8): 139-146.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202501042

https://www.electricpower.com.cn/EN/Y2025/V58/I8/139

Figures/Tables 6

Fig.1 The method and process of this article

Fig.2 39 node system model

Table 1 The designed electric power capacity of fan motors

清除时间/ms	角度指标		$ {V_{{\text{dV}}}} $指标
清除时间/ms	局部最大值/°	时间/s	局部最大值	时间/s
32	112	0.80	0.37	0.34
42	128	1.16	0.39	0.34
52	—	—	0.42	0.34

Fig.3 Transient stability assessment results

Fig.4 Comparison of confusion matrix classification

Fig.5 Comparison of transient stability assessment of 39 node system

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