Enhanced merit order and augmented Lagrange Hopfield network for ramp rate constrained unit commitment

This paper proposes an enhanced merit order (EMO) and augmented Hopfield Lagrange neural network (ALH) for solving ramp rate constrained unit commitment (RUC) problem. The proposed EMO-ALH minimizes the total production cost subject to the power balance, 15 minute spinning reserve response time cons...

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Vydané v:	2006 IEEE Power Engineering Society General Meeting s. 7 pp.
Hlavní autori:	Dieu, V.N., Ongsakul, W.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 2006
Predmet:	augmented Lagrange Hopfield neural network Costs Delay Dynamic programming Enhanced merit order Lagrangian functions Logic testing Neural networks Power generation ramp rate constrained economic dispatch ramp rate constrained unit commitment Spinning System testing Time factors
ISBN:	1424404932, 9781424404933
ISSN:	1932-5517
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