Identification of nonparametric dynamic power system equivalents with artificial neural networks

The paper proposes an artificial neural network (ANN)-based strategy for identification of reduced-order dynamic equivalents of power systems. This large-signal model is formulated in continuous-time and is therefore compatible with standard models of power system components. In a departure from pre...

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Veröffentlicht in:	IEEE transactions on power systems 2003-11, Vol.18 (4), p.1478-1486
Hauptverfasser:	Stankovic, A.M., Saric, A.T., Milosevic, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Differential equations Neural networks Ordinary differential equations Power system analysis computing Power system dynamics Power system interconnection Power system measurements Power system modeling Power systems Reduced order systems Studies Uncertainty
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