Battery energy storage systems for the electricity grid: UK research facilities

T. Feehally; A.J. Forsyth; R. Todd; M.P. Foster; D. Gladwin; D.A. Stone; D. Strickland

doi:10.1049/cp.2016.0257

Battery energy storage systems for the electricity grid: UK research facilities

T. Feehally, A.J. Forsyth, R. Todd, M.P. Foster, D. Gladwin, D.A. Stone, D. Strickland

Power Electronics, Machines and Power System (PEMPS) Group

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Grid-connected battery energy storage systems with fast acting control are a key technology for improving power network stability and increasing the penetration of renewable generation. This paper describes two battery energy storage research facilities connected to the UK electricity grid. Their performance is detailed, along with hardware results, and a number of grid support services are demonstrated, again with results presented. The facility operated by The University of Manchester is rated at 236kVA, 180kWh, and connected to the 400V campus power network, The University of Sheffield operates a 2MVA, 1MWh facility connected to an 11kV distribution network.

Original language	English
Title of host publication	8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016), 2016
Publisher	IET
ISBN (Print)	978-1-78561-188-9
DOIs	https://doi.org/10.1049/cp.2016.0257
Publication status	Published - 10 Nov 2016
Event	8th IET International Conference on Power Electronics, Machines and Drives - Glasgow, United Kingdom Duration: 19 Apr 2016 → 21 Apr 2016

Conference

Conference	8th IET International Conference on Power Electronics, Machines and Drives
Abbreviated title	PEMD 2016
Country/Territory	United Kingdom
City	Glasgow
Period	19/04/16 → 21/04/16

Keywords

battery
energy storage
grid-scale
hardware

Access to Document

10.1049/cp.2016.0257

http://eprints.whiterose.ac.uk/100478/

Cite this

@inproceedings{71c4f67867794642820c825cc733b372,

title = "Battery energy storage systems for the electricity grid: UK research facilities",

abstract = "Grid-connected battery energy storage systems with fast acting control are a key technology for improving power network stability and increasing the penetration of renewable generation. This paper describes two battery energy storage research facilities connected to the UK electricity grid. Their performance is detailed, along with hardware results, and a number of grid support services are demonstrated, again with results presented. The facility operated by The University of Manchester is rated at 236kVA, 180kWh, and connected to the 400V campus power network, The University of Sheffield operates a 2MVA, 1MWh facility connected to an 11kV distribution network.",

keywords = "battery, energy storage, grid-scale, hardware",

author = "T. Feehally and A.J. Forsyth and R. Todd and M.P. Foster and D. Gladwin and D.A. Stone and D. Strickland",

year = "2016",

month = nov,

day = "10",

doi = "10.1049/cp.2016.0257",

language = "English",

isbn = "978-1-78561-188-9",

booktitle = "8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016), 2016",

publisher = "IET",

address = "United Kingdom",

note = "8th IET International Conference on Power Electronics, Machines and Drives, PEMD 2016 ; Conference date: 19-04-2016 Through 21-04-2016",

}

Feehally, T, Forsyth, AJ, Todd, R, Foster, MP, Gladwin, D, Stone, DA & Strickland, D 2016, Battery energy storage systems for the electricity grid: UK research facilities. in 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016), 2016., 6, IET, 8th IET International Conference on Power Electronics, Machines and Drives, Glasgow, United Kingdom, 19/04/16. https://doi.org/10.1049/cp.2016.0257

TY - GEN

T1 - Battery energy storage systems for the electricity grid

T2 - 8th IET International Conference on Power Electronics, Machines and Drives

AU - Feehally, T.

AU - Forsyth, A.J.

AU - Todd, R.

AU - Foster, M.P.

AU - Gladwin, D.

AU - Stone, D.A.

AU - Strickland, D.

PY - 2016/11/10

Y1 - 2016/11/10

N2 - Grid-connected battery energy storage systems with fast acting control are a key technology for improving power network stability and increasing the penetration of renewable generation. This paper describes two battery energy storage research facilities connected to the UK electricity grid. Their performance is detailed, along with hardware results, and a number of grid support services are demonstrated, again with results presented. The facility operated by The University of Manchester is rated at 236kVA, 180kWh, and connected to the 400V campus power network, The University of Sheffield operates a 2MVA, 1MWh facility connected to an 11kV distribution network.

AB - Grid-connected battery energy storage systems with fast acting control are a key technology for improving power network stability and increasing the penetration of renewable generation. This paper describes two battery energy storage research facilities connected to the UK electricity grid. Their performance is detailed, along with hardware results, and a number of grid support services are demonstrated, again with results presented. The facility operated by The University of Manchester is rated at 236kVA, 180kWh, and connected to the 400V campus power network, The University of Sheffield operates a 2MVA, 1MWh facility connected to an 11kV distribution network.

KW - battery

KW - energy storage

KW - grid-scale

KW - hardware

UR - http://digital-library.theiet.org/content/conferences/10.1049/cp.2016.0257

UR - http://www.scopus.com/inward/record.url?scp=85009129516&partnerID=8YFLogxK

U2 - 10.1049/cp.2016.0257

DO - 10.1049/cp.2016.0257

M3 - Conference publication

AN - SCOPUS:85009129516

SN - 978-1-78561-188-9

BT - 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016), 2016

PB - IET

Y2 - 19 April 2016 through 21 April 2016

ER -

Battery energy storage systems for the electricity grid: UK research facilities

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Asymmetrical rotor design for a synchronous machine based on surrogate optimisation algorithm

Design considerations of a shunt calorimeter for high-efficiency electrical machines and drives

Distribution network transformer thermal modelling parameter determination for dynamic rating applications

Cite this