Techno-economical optimization of wind power production including lithium and/or hydrogen sizing in the context of the day ahead market in island grids

David Hernández-Torres, Christophe Turpin, Xavier Roboam and Bruno Sareni

Mathematics and Computers in Simulation (MATCOM), 2019, vol. 158, issue C, 162-178

Abstract: In this article an optimal storage sizing based on technical and economical modeling is presented. A focus is made on wind power producers participating in day-ahead markets for island networks and energy storage using Li-Ion and H2/O2 batteries. The modeling approach is based on power flow models and detailed optimization-oriented techniques. An importance is given to the storage device ageing effects on the overall hybrid system levelized cost of the energy. The results are presented for the special case of renewable power integration in the French islands networks. The analysis obtained after the results shows the importance of this type of modeling tool for decision making during the initial conceptual design level.

Keywords: Wind power; Optimal storage sizing; Day-ahead markets; Island networks (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:158:y:2019:i:c:p:162-178

DOI: 10.1016/j.matcom.2018.07.010

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