文章基本信息

标题：A PMU-based algorithm of synchronous generator stability prediction during a disturbance
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作者：Mihail Senyuk ; Alexander Moiseichenkov ; Pavel Kovalenko 等
期刊名称：E3S Web of Conferences
印刷版ISSN：2267-1242
电子版ISSN：2267-1242
出版年度：2021
卷号：288
页码：1-8
DOI：10.1051/e3sconf/202128801031
语种：English
出版社：EDP Sciences
摘要：A PMU-based algorithm of synchronous generator stability prediction is proposed and tested in the paper. The algorithm is based on the application of the equal area criterion for the following spaces: active power – load angle, active power – time. The deceleration area is formed using the least squares curve fitting by the second order polynomial. The algorithm was tested on the single synchronous machine power system. A number of transients was simulated with the power angle curve polynomial accuracy of 50 ms. The results have shown high adaptability and efficiency of the proposed algorithm. It can be used in adaptive protection and control devices to form control actions aimed at ensuring the stability of a power system operation.