Johnson, R.C., Mayfield, M. orcid.org/0000-0002-9174-1773 and Beck, S.B.M. orcid.org/0000-0003-2673-4179 (2018) Battery energy storage for management of LV network operational violations : a multi-feeder analysis. In: Cruden, A., Stone, D., Mayfield, M., Young, E., Inkson, B., Cumming, D., Boston, B., Jones, C. and Brown, S., (eds.) Energy Procedia. 3rd Annual Conference in Energy Storage and Its Applications, 11-12 Sep 2018, Sheffield, UK. Elsevier , pp. 31-36.
Abstract
With increasing penetration of rooftop PV systems on UK LV networks, it is becoming more likely that specific LV networks will experience unacceptable line congestion and voltage rises. In this study, we use Mixed Integer Quadratically Constrained Program (MIQCP) formulations to examine the possibility of eliminating these violations via aggregation and control of behind-the-meter (BTM) battery energy storage systems (BESSs), therefore delaying traditional reinforcement. By applying the formulations to 29 UK LV feeders, we examine the trends between the violation control capability of each method and a set of feeder topology metrics, to determine whether the suitability of networks to violation management strategies may be predicted from easy to obtain metrics, rather than extensive power flow modelling. It is found that instances in which BESSs may be reliably used to manage violations exist but are infrequent.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2018 Elsevier. This is an author produced version of a paper subsequently published in Energy Procedia. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | LV networks; PV; Aggregation; Optimization |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Nov 2019 09:26 |
Last Modified: | 21 Nov 2019 09:26 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.egypro.2018.09.023 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:153691 |