A review on application of machine learning-based methods for power system inertia monitoring

被引：0
|
作者：
Heidari, Mahdi [1 ]
Ding, Lei [1 ]
Kheshti, Mostafa [2 ]
Bao, Weiyu [1 ]
Zhao, Xiaowei [2 ]
Popov, Marjan [3 ]
Terzija, Vladimir [4 ]
机构：
[1] Key Laboratory of Power System Intelligent Dispatch and Control (Shandong University), Ministry of Education, Jinan,250061, China
[2] Intelligent Control and Smart Energy (ICSE) Research Group, School of Engineering, University of Warwick, Coventry,CV4 7AL, United Kingdom
[3] Delft University of Technology, Faculty of EEMCS, Mekelweg 4, Delft,2628CD, Netherlands
[4] Newcastle University, School of Engineering, Newcastle Upon Tyne,NE1 7RU, United Kingdom
来源：
International Journal of Electrical Power and Energy Systems | 2024年 / 162卷
关键词：
701.1 Electricity: Basic Concepts and Phenomena - 961 Systems Science;
D O I：
10.1016/j.ijepes.2024.110279
中图分类号：
学科分类号：
摘要：
183
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