A preventive control method of power system transient stability based on a convolutional neural network

被引：0
|
作者：
Tian F. [1 ]
Zhou X. [1 ]
Shi D. [1 ]
Chen Y. [1 ]
Huang Y. [1 ]
Yu Z. [1 ]
机构：
[1] State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute, Beijing
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2020年 / 48卷 / 18期
关键词：
Convolutional neural network; Power system; Preventive control; Transient stability;
D O I：
10.19783/j.cnki.pspc.191310
中图分类号：
学科分类号：
摘要：
A preventive control method of power system transient stability based on a Convolutional Neural Network (CNN) is presented to better realize the control. The sensitivities of the CNN output variable are calculated to select control generators and determine the control amount, and the corresponding control scheme is verified by the transient stability assessment method based on the CNN combined with time-domain simulation to obtain the control scheme. This can stabilize the system under anticipated contingencies. A particular provincial power grid is analyzed to verify the effectiveness of the method. The results reveal that effective control measures are obtained with the proposed CNN-based transient stability preventive control method, and they can restore the system to a stable state. © 2020, Power System Protection and Control Press. All right reserved.
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页码：1 / 8
页数：7
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