N.S. Wade
Evaluating the benefits of an electrical energy storage system in a future smart grid
Wade, N.S.; Taylor, P.C.; Lang, P.D.; Jones, P.R.
Authors
P.C. Taylor
P.D. Lang
P.R. Jones
Abstract
Interest in electrical energy storage systems is increasing as the opportunities for their application become more compelling in an industry with a back-drop of ageing assets, increasing distributed generation and a desire to transform networks into Smart Grids. A field trial of an energy storage system designed and built by ABB is taking place on a section of 11kV distribution network operated by EDF Energy Networks in Great Britain. This paper reports on the findings from simulation software developed at Durham University that evaluates the benefits brought by operating an energy storage system in response to multiple events on multiple networks. The tool manages the allocation of a finite energy resource to achieve the most beneficial shared operation across two adjacent areas of distribution network. Simulations account for the key energy storage system parameters of capacity and power rating. Results for events requiring voltage control and power flow management show how the choice of operating strategy influences the benefits achieved. The wider implications of these results are discussed to provide an assessment of the role of electrical energy storage systems in future Smart Grids.
Citation
Wade, N., Taylor, P., Lang, P., & Jones, P. (2010). Evaluating the benefits of an electrical energy storage system in a future smart grid. Energy Policy, 38(11), 7180-7188. https://doi.org/10.1016/j.enpol.2010.07.045
Journal Article Type | Article |
---|---|
Publication Date | Nov 1, 2010 |
Deposit Date | Sep 9, 2010 |
Publicly Available Date | Oct 1, 2010 |
Journal | Energy Policy |
Print ISSN | 0301-4215 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 38 |
Issue | 11 |
Pages | 7180-7188 |
DOI | https://doi.org/10.1016/j.enpol.2010.07.045 |
Keywords | Active networks, Electrical energy storage, Power system modelling. |
Public URL | https://durham-repository.worktribe.com/output/1549434 |
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Copyright Statement
NOTICE: this is the author's version of a work that was accepted for publication in Energy policy.
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