Scheduling of energy storage

Scheduling of energy storage

Zachary, Stan (Heriot-Watt University)
Tindemans, Simon H. (TU Delft Intelligent Electrical Power Grids)
Evans, Michael (Imperial College London)
Cruise, James (Heriot-Watt University)
Angeli, David (Imperial College London; University of Florence)

2021

The increasing reliance on renewable energy generation means that storage may well play a much greater role in the balancing of future electricity systems. We show how heterogeneous stores, differing in capacity and rate constraints, may be optimally, or nearly optimally, scheduled to assist in such balancing, with the aim of minimizing the total imbalance (unserved energy) over any given period of time. It further turns out that in many cases the optimal policies are such that the optimal decision at each point in time is independent of the future evolution of the supply-demand balance in the system, so that these policies remain optimal in a stochastic environment. This article is part of the theme issue 'The mathematics of energy systems'.

energy storage
greedy policy
optimal scheduling

http://resolver.tudelft.nl/uuid:9fd9f3ec-612e-4531-abae-359cc2c38339

https://doi.org/10.1098/rsta.2019.0435

2021-12-07

1364-503X

Royal Society of London. Philosophical Transactions A. Mathematical, Physical and Engineering Sciences, 379 (2202), 20190435

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2021 Stan Zachary, Simon H. Tindemans, Michael Evans, James Cruise, David Angeli