Maximum income resulting from energy arbitrage by battery systems subject to cycle aging and price uncertainty from a dynamic programming perspective

Guzmán Díaz, Javier Gómez-Aleixandre, José Coto and Olga Conejero

Energy, 2018, vol. 156, issue C, 647-660

Abstract: This paper describes an approach to compute the maximum value of energy storage systems (ESS) in grid applications under uncertain energy prices. The value obtained is based on an optimal operation (consisting of charge/discharge sequences) of the ESS. In other words, it is the maximum value that may be obtained when the ESS charge/discharge sequence is adapted to the expected operational conditions.

Keywords: Economic value; Battery aging; Dynamic programming; Optimization; Stochastic analysis (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:156:y:2018:i:c:p:647-660

DOI: 10.1016/j.energy.2018.05.122

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