A Multiobjective Stochastic Programming Model for Hydropower Hedging Operations under Inexact Information

This study develops a multiobjective stochastic programming model for informing hedging decisions for hydropower operations under an electricity market environment considering the benefit from selling energy production and the cost of penalizing energy shortfall. Aiming to determine the optimal stra...

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Veröffentlicht in:	Water resources management Jg. 31; H. 14; S. 4649 - 4667
Hauptverfasser:	Xu, Bin, Zhong, Ping-an, Wu, Yenan, Fu, Fangming, Chen, Yuting, Zhao, Yunfa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.11.2017 Springer Nature B.V
Schlagworte:	Atmospheric Sciences Canyons Civil Engineering Decisions Drawdown Earth and Environmental Science Earth Sciences electricity Energy Energy storage Environment Frameworks Geotechnical Engineering & Applied Earth Sciences Hedging Hydroelectric power Hydrogeology Hydrology/Water Resources income markets Maximization Multiple objective analysis Optimization prices Reservoir storage Revenue risk Stochastic models Stochastic programming Stream discharge Stream flow Studies water power China Hydropower operation Shadow price Inexact information Hedging policy Stochastic programming
ISSN:	0920-4741, 1573-1650
Online-Zugang:	Volltext
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