Abstract
We demonstrate a software application that supports energy traders in gas utilities in determining an optimal injection/withdrawal schedule for a storage facility.We employ a stochastic model for gas prices and incorporate an injection adjustment factor in our optimisation model that reflects the decisions of other agents that share space in the storage facility. The optimal injection policy is critically dependent on the pressure in the facility and thus the rates of injection and withdrawal. These adjustment factors are supplied by the store owner. This software has been deployed with several multinational gas utilities and investment firms. © 2010 Springer-Verlag.
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CITATION STYLE
Holland, A. (2010). A decision support system for energy storage traders. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6206 LNAI, pp. 291–292). https://doi.org/10.1007/978-3-642-17080-5_34
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