Integrated Advance Assessment of Power System Transient Voltage and Transient Angle Stability Based on Deep Learning

被引：0
作者：
Shi F. [1 ]
Wu J. [1 ]
Ji J. [1 ]
Bu Y. [1 ]
Li L. [1 ]
Zhao P. [1 ]
Li B. [1 ]
机构：
[1] School of Electrical Engineering, Beijing Jiaotong University, Haidian District, Beijing
来源：
Dianwang Jishu/Power System Technology | 2023年 / 47卷 / 02期
基金：
中国国家自然科学基金;
关键词：
feature contribution; SE; TAS; TVS;
D O I：
10.13335/j.1000-3673.pst.2022.0725
中图分类号：
学科分类号：
摘要：
Transient voltage stability (TVS) and transient angle stability (TAS) are the important bases for the safe operation of the power system. With the construction of the new power systems, the problems of TVS and TAS have been closely coupled and occurred frequently, which needs a high precision integrated advanced evaluation urgently to lay a solid foundation for the emergency control. Firstly, according to the investigation, the comprehensive features of the TAS and TVS are integrated, and the feature contribution degree is measured according to the extreme gradient boosting (XGboost), from which the feature set with differential features is generated as the input of the evaluation model. Secondly, a multi-scale convolution gated recurrent unit model integrating the extrusion excitation (SE-CGRU) is proposed. The model realizes the adaptive adjustment of the feature weight channel through the squeeze and excitation (SE) module, and fuses the detail features and the macro features by using the multi-scale convolution to realize the high-precision integrated evaluation of the transient power angle and transient voltage so that the prediction results can be given without knowing the fault clearing time and the safety margin of the system under the current state can be output during the online evaluation. By introducing the loss function with a time constraint and the dynamic weight training, the response time is greatly reduced and the advance evaluation is realized on the basis of maintaining the existing accuracy. The multi-criterion fusion strategy further reduces the missed judgments and misjudgments, and improves the reliability of model evaluation. Taking the New England 10 machine 39 bus system and a regional provincial interconnected system in China as examples to verify and analyze, the results show that the proposed method can achieve the high-precision integrated advance evaluation of the power angle and voltage stability. © 2023 Power System Technology Press. All rights reserved.
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页码：741 / 754
页数：13
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