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https://open.uns.ac.rs/handle/123456789/12463
Nаziv: | Neural network based calculation of short-circuit currents in three-phase systems | Аutоri: | Djukanovic M. Bekut, Duško Sobajic D. Pao Y. |
Dаtum izdаvаnjа: | 1-јан-1992 | Čаsоpis: | Electric Power Systems Research | Sažetak: | In this paper we present a new method for short-circuit studies in three-phase systems based on the use of supervised learning neural net technology and the adaptive pattern recognition concept. Neural nets are used to assess the essential characteristics of short-circuit currents. The main motivation is to exploit generalization capabilities of neural nets to interpolate between training data, and thus to allow fast and direct assessment of short-circuit currents in cases of changing network topology and parameters. We present the results obtained in computer simulations using the example of a power system. © 1992. | URI: | https://open.uns.ac.rs/handle/123456789/12463 | ISSN: | 3787796 | DOI: | 10.1016/0378-7796(92)90044-2 |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
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