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Dynamic preventive control for power system using transient stability assessment based on pattern recognition
Author(s) -
Kita Hiroyuki,
Nishiya KenIchi,
Hasegawa Jun,
Mizuno Takahiro
Publication year - 1992
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/eej.4391120805
Subject(s) - transient (computer programming) , contingency , electric power system , control theory (sociology) , stability (learning theory) , electronic stability control , feature (linguistics) , security controls , computer science , control (management) , index (typography) , engineering , reliability engineering , power (physics) , control engineering , artificial intelligence , machine learning , automotive engineering , philosophy , linguistics , physics , quantum mechanics , world wide web , operating system
To maintain power system security, the authors are developing an integrated security monitoring and control (ISMAC) system which consists of the three main functions: security monitoring, preventive control and emergency control. This paper focuses on the dynamic preventive control which deals with the transient stability immediately after the contingency has occurred. The proposed method is based on the transient stability assessment using the pattern recognition with two‐dimensional feature space. Therefore, a preventive control strategy can be obtained rapidly. An index which represents the severity of the contingency quantitatively (security index) is defined by the distance from a linear decision surface which divides a feature plane into a stable and an unstable region. Further, this method has also the advantage that it is possible to consider the effect of the control devices or damping to some extent and specify the operator demand for stabilization flexibly. The effectiveness of the proposed method is ascertained through numerical examples for model power systems.