A dynamic programming model of energy storage and transformer deployments to relieve distribution constraints

Xiaomin Xi () and Ramteen Sioshansi ()

Computational Management Science, 2016, vol. 13, issue 1, 119-146

Abstract: We introduce a stochastic dynamic programming (SDP) model that co-optimizes multiple uses of distributed energy storage, including energy and ancillary service sales, backup capacity, and transformer loading relief, while accounting for market and system uncertainty. We propose an approximation technique to efficiently solve the SDP. We also use a case study with high residential loads to demonstrate that a deployment consisting of both storage and transformer upgrades decreases costs and increases value relative to a transformer-only deployment. Copyright Springer-Verlag Berlin Heidelberg 2016

Keywords: Energy storage; Stochastic dynamic program; Electricity distribution; 90C15; 90C39; 90B05 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s10287-014-0218-6

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