Challenges to a full energy storage optimisation

Hartwig, Karl Petter and Kockar, Ivana and Gill, Simon and McMillan, David (2014) Challenges to a full energy storage optimisation. In: UK energy storage conference, 2014-11-25 - 2015-11-27, University of Warwick.

Full text not available in this repository.Request a copy

Abstract

A large proportion of the analyses of Energy Storage (ES) in electricity markets utilises linear and non-linear optimisation to evaluate possible returns for investors and impact on power system operation. While such formulations commonly include simplified characteristics of ES roundtrip efficiencies and self-discharge, the effects of storage operation on asset lifetime tends to be ignored. Sophisticated physical models are infeasible to incorporate into large-scale optimisation models from a computational point of view. However there is scope for significant improvements in the decision models by considering simplified representation of aging effects. This work proposes to include a cost function for battery degradation linked to a number of constraints to account for such effects in the ES scheduling.

ORCID iDs

Hartwig, Karl Petter ORCID logoORCID: https://orcid.org/0000-0003-1819-3368, Kockar, Ivana ORCID logoORCID: https://orcid.org/0000-0001-9246-1303, Gill, Simon ORCID logoORCID: https://orcid.org/0000-0002-4583-6042 and McMillan, David ORCID logoORCID: https://orcid.org/0000-0003-3030-4702;
CORE (COnnecting REpositories)