Artificial-Intelligence Method for the Derivation of Generic Aggregated Dynamic Equivalent Models

Aggregated equivalent models for the dynamic analysis of active distribution networks (ADNs) can be efficiently developed using dynamic responses recorded through field measurements. However, equivalent model parameters are highly affected from the time-varying composition of power system loads and...

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Veröffentlicht in:	IEEE transactions on power systems 2019-07, Vol.34 (4), p.2947-2956
Hauptverfasser:	Kontis, Eleftherios O., Papadopoulos, Theofilos A., Syed, Mazheruddin H., Guillo-Sansano, Efren, Burt, Graeme M., Papagiannis, Grigoris K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical models Artificial intelligence Artificial neural networks black-box modeling Clustering Computational modeling Computer simulation Derivation Distributed generation Dynamic equivalents dynamic modeling Equivalence Generators In situ measurement Load modeling Mathematical models measurement-based approach Order parameters Parameter robustness Power system dynamics Reactive power
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