Statistics of Short-Circuit Signals for Power System Protection Purposes
Rebizant, W (Wroclaw University of Technology, Poland) ; Szafran, J (Wroclaw University of Technology, Poland) ; Feser, K (University of Stuttgart, Germany) ; Oechsle, F (University of Stuttgart, Germany)
/ ||I08/2000/I-134 ||ENY-ARTICLE-2008-153|
Abstract: Basic ideas of probability and statistics with application to chosen power system protection problems are presented. Since fault appearance and parameters are of probabilistic nature, calculated distributions of selected short-circuit signals should bring great amount of information useful for protection purposes. Two examples are described how calculated statistics may be used for decision making in a fault detection and classification unit and for effective choice of optimal input signals in an ANN-based out-of-step prediction scheme. The short-circuit cases for determination of needed distributions were obtained performing extensive simulations with use of EMTP/ATP programme.
Keyword(s): probability density function ; short-circuit signal ; fault detection ; classification ; neural network ; ANN
Note: 9th International Symposium on Short-Circuit Currents in Power Systems, Cracow, October 11-13, 2000, pp. 149-156.
Fulltext : http://zet10.ipee.pwr.wroc.pl/record/195/files/
Cited by: try citation search for ENY-ARTICLE-2008-153; I08/2000/I-134
Record created 2008-06-04, last modified 2008-06-05
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