Regional-scale electric power system planning under uncertainty—A multistage interval-stochastic integer linear programming approach

In this study, a multistage interval-stochastic regional-scale energy model (MIS-REM) is developed for supporting electric power system (EPS) planning under uncertainty that is based on a multistage interval-stochastic integer linear programming method. The developed MIS-REM can deal with uncertaint...

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Veröffentlicht in:	Energy policy Jg. 38; H. 1; S. 475 - 490
Hauptverfasser:	Li, Y.F., Huang, G.H., Li, Y.P., Xu, Y., Chen, W.T.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 2010 Elsevier Elsevier Science Ltd
Schriftenreihe:	Energy Policy
Schlagworte:	Applied sciences Case studies Economic data Economic development Economic structure Economics Electric energy Electric power Electric power generation Electric power system Electric power system Inexact optimization Multistage Electricity Electricity distribution Electricity generation Energy Energy consumption Energy development Energy economics Energy planning Energy policy Energy resources Energy sources Environmental requirements Exact sciences and technology General, economic and professional studies Inexact optimization Integer programming Justification Linear programming Methodology. Modelling Multistage Optimization Penalties Planning Power plants Power supply Regional analysis Regions Renewable energy Renewable resources Stochastic models Stochastic processes Studies Transactions Uncertainty Inexact optimization Electric power system Multistage Uncertainty Electric energy transportation Methodology Regional scope Transmission capacity Linear programming Stochastic programming Integer programming Production capacity Planning Electric power production Interval
ISSN:	0301-4215, 1873-6777
Online-Zugang:	Volltext
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