Neuro-fuzzy approach to real-time transient stability prediction based on synchronized phasor measurements
學年 87
學期 2
出版（發表）日期 1999-03-01
作品名稱 Neuro-fuzzy approach to real-time transient stability prediction based on synchronized phasor measurements
作品名稱（其他語言）
著者 Liu, Chih-wen; Tsay, Shuenn-shing; Wang, Yi-jen; 蘇木春; Su, Mu-chun
單位 淡江大學電機工程學系
出版者 Elsevier
著錄名稱、卷期、頁數 Electric power systems research 49(2), pp.123-127
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.
關鍵字 Phasor measurement unit (PMU);Real-time transient stability prediction;Fuzzy hyperrectangular composite neural network (FHRCNN)
語言 en
ISSN 0378-7796
期刊性質 國外
收錄於
產學合作
通訊作者
審稿制度 否
國別 NLD
公開徵稿
出版型式 ,紙本
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