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Development of a predictive prevention method for the midterm stability problem using only local information
Author(s) -
Imai Shin'ichi,
Syoji Toshiya,
Yanagihashi Ken,
Kojima Yasuhiro,
Kowada Yasuyuki,
Oshida Hideharu,
Goda Tadahiro
Publication year - 2000
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/1520-6416(200010)133:1<43::aid-eej5>3.0.co;2-0
Subject(s) - electric power system , transient (computer programming) , control theory (sociology) , consolidation (business) , stability (learning theory) , fault (geology) , generator (circuit theory) , computer science , control engineering , engineering , power (physics) , control (management) , artificial intelligence , machine learning , physics , accounting , quantum mechanics , seismology , business , geology , operating system
There has recently been a consolidation of power system stability in connection with the extension and complication of power systems, although unstable behavior after a serious fault has been expanding from the transient area to the dynamic area. We therefore undertook the development of a dynamic stabilization method based exclusively on local information. In this paper we propose a new concept of real‐time modeling after a fault, using only local information. The control actions for stabilization of the power system are determined by behavioral prediction based on differential equations. The control actions of each generator are based on stability judgments at each local site. Case studies are presented to demonstrate the validity of the proposed method. © 2000 Scripta Technica, Electr Eng Jpn, 133(1): 43–52, 2000