Neuro-fuzzy approach to real-time transient stability prediction based on synchronized phasor measurements

Chih Wen Liu, Shuenn Shing Tsay, Yi Jen Wang, Mu Chun Su

研究成果: 雜誌貢獻期刊論文同行評審

18 引文 斯高帕斯(Scopus)

摘要

With new systems capable of making synchronized phasor measurements there are possibilities for real-time assessment of the stability of a transient swing in power systems. In the future, on-line control will be necessary as operating points are pushed closer toward the margin and fast reaction time becomes critical to the survival of the system. In this paper we develop a novel class of fuzzy hyperrectangular composite neural networks which utilize real-time phasor angle measurements to provide fast transient stability prediction for use with high-speed control. From simulation tests on a sample power system, it reveals that the proposed tool can yield a highly successful prediction rate in real-time.

原文???core.languages.en_GB???
頁(從 - 到)123-127
頁數5
期刊Electric Power Systems Research
49
發行號2
DOIs
出版狀態已出版 - 1 3月 1999

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