Transient stability assessment method for power system based on Fisher Score feature selection

被引：0
作者：
Li P. [1 ]
Dong X. [1 ]
Meng Q. [1 ]
Chen J. [1 ]
机构：
[1] Department of Electrical Engineering, College of New Energy, China University of Petroleum, Qingdao
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2023年 / 43卷 / 07期
关键词：
electric power systems; feature selection; Fisher Score algorithm; transient stability assessment;
D O I：
10.16081/j.epae.202212002
中图分类号：
学科分类号：
摘要：
In order to solve the problems of different correlation degrees between different electrical input features and transient stability of power system and the obvious decrease of assessment accuracy rate when the input features are interfered，a transient stability assessment method for power system based on Fisher Score feature selection is proposed. A Fisher Score value calculation scheme of sample features for transient stability assessment binary classification problem of power system is designed. Fisher Score value ranking is used to effectively distinguish important features from redundant features，noise features from non-noise features. The selected electrical features are input into different machine learning models for training and assessment. The simulative results of New England 39-bus system and IEEE 145-bus system show that the proposed feature selection scheme can effectively screen out the features of high importance in the tran⁃ sient stability assessment of power system，and improve the prediction performance of the assessment model. © 2023 Electric Power Automation Equipment Press. All rights reserved.
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页码：117 / 123
页数：6
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