Optimal scheduling of combined heat and power plants using mixed-integer nonlinear programming

This paper presents the application of MINLP (mixed-integer nonlinear programming) approach for scheduling of a CHP (combined heat and power) plant in the day-ahead wholesale energy markets. This work employs first principles models to describe the nonlinear dynamics of a CHP plant and its individua...

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Veröffentlicht in:	Energy (Oxford) Jg. 77; S. 675 - 690
Hauptverfasser:	Kim, Jong Suk, Edgar, Thomas F.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.12.2014 Elsevier
Schlagworte:	Applied sciences case studies CHP cold Combined heat and power Day-ahead wholesale energy market Economic dispatch electricity Energy Exact sciences and technology fuels heat income Markets Mathematical models Maximum power Mixed-integer nonlinear programming Nonlinear programming Power plants sales Scheduling steam Texas Unit commitment USA, Texas, Austin Texas Scheduling Economic dispatch Day-ahead wholesale energy market Mixed-integer nonlinear programming Combined heat and power Unit commitment Electric power plant Non linear programming
ISSN:	0360-5442
Online-Zugang:	Volltext
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