# Minimising Unserved Energy Using Heterogeneous Storage Units

arXiv: https://arxiv.org/abs/1807.09044 · HTML: https://mlsanity.com/paper/1807.09044/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Jul 2018.

## Built on by (most cited first, 1 of 1)

- [MLMC-based Resource Adequacy Assessment with Active Learning Trained Surrogate Models](https://mlsanity.com/paper/2505.20930/) (2025)

## Abstract (arXiv)

This paper considers the optimal dispatch of energy-constrained heterogeneous storage units to maximise security of supply. A policy, requiring no knowledge of the future, is presented and shown to minimise unserved energy during supply-shortfall events, regardless of the supply and demand profiles. It is accompanied by a graphical means to rapidly determine unavoidable energy shortfalls, which can then be used to compare different device fleets. The policy is well-suited for use within the framework of system adequacy assessment; for this purpose, a discrete time optimal policy is conceived, in both analytic and algorithmic forms, such that these results can be applied to discrete time systems and simulation studies. This is exemplified via a generation adequacy study of the British system.