Prediction of DC load-rejection dynamic overvoltages using pattern recognition
作者:
E.A.Mohamed,
G.W.Swift,
期刊:
IEE Proceedings C (Generation, Transmission and Distribution)
(IET Available online 1988)
卷期:
Volume 135,
issue 6
页码: 480-486
年代: 1988
DOI:10.1049/ip-c.1988.0062
出版商: IEE
数据来源: IET
摘要:
Power systems DC load-rejection may result in system dynamic overvoltages sometimes followed by generator self excitation. These overvoltages may be unacceptably high. The paper introduces a new pattern-recognition-based algorithm to predict power system load-rejection overvoltages. Using a power system digital simulation, a training set of a wide range of system loading conditions is created. A discriminant hyperplane is then derived to identify overvoltages, i.e. insecure conditions. In addition, a least squares method is incorporated to derive the relationship between the voltage security indices and postcontingency voltage deviations in the training process. A corrective algorithm based on the sensitivity analysis is also developed so that power system operators can take appropriate action at the appropriate time.
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