Intelligent stability assessment based on pattern recognition

被引：0
|
作者：
Guan L. [1 ]
He C. [1 ]
Zeng Y. [1 ]
Huang Z. [1 ]
机构：
[1] College of Electric Power, South China University of Technology, Guangzhou
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2016年 / 36卷 / 11期
关键词：
Assessment; Dominant instability generator group; Instability patterns; Power grid topology; Transient stability;
D O I：
10.16081/j.issn.1006-6047.2016.11.016
中图分类号：
学科分类号：
摘要：
Along with the growth of new energy generation, the power system structure and operating conditions become more complicated. An intelligent method of stability assessment based on pattern recognition is proposed to effectively realize the decision-making of preventive control, which recognizes the dominant instability generator groups and establishes an online transient stability assessment model based on the topology and operating conditions to effectively predict the transient stability level of present operating point according to a series of electrical characteristic parameters. Its validity is verified in China Southern Power Grid system, which shows that, it is conductive to the establishment of the relationship among operating mode, topological structure and stability level of power grid and the modeling of intelligent decision-making for the preventive control of power system. © 2016, Electric Power Automation Equipment Press. All right reserved.
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页码：107 / 111and119
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