Scoltock, J. and Gladwin, D.T. orcid.org/0000-0001-7195-5435 (2019) Payment analysis for a BESS providing dynamic frequency response in the Irish grid. In: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, 14-17 Oct 2019, Lisbon, Portugal. IEEE ISBN 9781728148793
Abstract
The increased uptake of renewable energy generation has lead to a growing interest in grid-connected energy storage systems, such as batteries and flywheels, for maintaining grid stability. A number of countries have developed schemes for the provision of frequency response services, with some grid operators, such as National Grid in Great Britain and Eiregrid in Ireland, having a range of static and dynamic services. For the provision of dynamic services, the use of tighter frequency margins, which results in the unit providing frequency response more regularly and in higher volumes, may be incentivised through higher payments. One example of such a scheme is in Ireland under the Eiregrid DS3 programme, where a tariff system that incorporates both the performance and frequency margins of units providing dynamic response has been introduced. This paper examines how the choice of frequency margins affects overall payments for Battery Energy Storage Systems (BESS) operating in the Irish grid. Analysis is performed by simulating the BESS system using Irish grid frequency data. The results provide insights into how the frequency margins affect payments for different frequency response services, and show how payments to a BESS providing dynamic frequency response are maximised.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Funding Information: | Funder Grant number European Commission - Horizon 2020 760443 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Nov 2020 10:44 |
Last Modified: | 09 Dec 2020 01:38 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/iecon.2019.8926906 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:167404 |