Minimising Unserved Energy Using Heterogeneous Storage Units

Journal article (2019)

Authors

Michael Evans Imperial College London
Simon H. Tindemans Intelligent Electrical Power Grids - EEMCS
David Angeli Imperial College London, University of Florence
Research Group
Intelligent Electrical Power Grids (EEMCS) (TU Delft)
Copyright: © 2019 Michael P. Evans, Simon H. Tindemans, David Angeli
DOI: https://doi.org/10.1109/TPWRS.2019.2910388
Optimal control Aggregation Generation adequacy Energy storage systems
More Info
expand_more

Published Date

2019

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

Intelligent Electrical Power Grids

Abstract

This paper considers the optimal dispatch of energy-constrained heterogeneous storage units to maximize security of supply. A policy, requiring no knowledge of the future, is presented and shown to minimize 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.