Mixed integer non-linear programming and Artificial Neural Network based approach to ancillary services dispatch in competitive electricity markets

•Ancillary services market management.•Ancillary services requirements forecast based on Artificial Neural Network.•Ancillary services clearing mechanisms without complex bids and with complex bids. Ancillary services represent a good business opportunity that must be considered by market players. T...

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Veröffentlicht in:	Applied energy Jg. 108; S. 261 - 270
Hauptverfasser:	Canizes, Bruno, Soares, João, Faria, Pedro, Vale, Zita
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.08.2013 Elsevier
Schlagworte:	Ancillary services Applied sciences Artificial Neural Networks Business business enterprises California Clearing Electricity Electricity markets Energy Exact sciences and technology Linear programming Markets Mixed integer Mixed integer non-linear programming neural networks Optimization Power systems prediction Programming California ANN RS RU LP SCED CAISO FERC Mixed integer non-linear programming MASCEM Artificial Neural Networks AGC SR GAMS ISO MINLP Linear programming CM MAPE NSR Ancillary services AS RD Electricity markets SCUC Power systems FD Electricity Markets Non linear programming Neural network
ISSN:	0306-2619, 1872-9118
Online-Zugang:	Volltext
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