Review on Artificial Intelligence in Power System Transient Stability Analysis

被引：0
|
作者：
Tang Y. [1 ]
Cui H. [1 ]
Li F. [1 ]
Wang Q. [1 ]
机构：
[1] School of Electrical Engineering, Southeast University, Nanjing, 210096, Jiangsu Province
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Artificial intelligence; Power system; Transient stability;
D O I：
10.13334/j.0258-8013.pcsee.180706
中图分类号：
学科分类号：
摘要：
Control and analysis methods in power system transient stability assessment (TSA) evolved fundamentally with the trends of power electronic domination, cyber-physical integration and large-scale power system interconnection. In order to satisfy the urgent requirements of TSA, artificial intelligence (AI) with the advantage in data mining was widely studied. This paper analyzed new features in TSA from the aspects of information, theory, simulation, analysis and control in detail. Moreover, based on the review of progress in the field of applying AI to TSA, the existing problems in data source, sample generation and algorithm application were analyzed for further improvements. Finally, a conclusion on current research progress was made. © 2019 Chin. Soc. for Elec. Eng.
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页码：2 / 13
页数：11
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