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A Forecasting, Optimization and Scheduling System for Energy Storage Systems in Distribution Networks

Lookup NU author(s): Dr David Greenwood, Dr Neal Wade, Professor Phil Taylor

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Abstract

Energy Storage Systems (ESS) can offer a combination of services to transmission and distribution network operators and energy suppliers. In order to do this effectively, the power and energy resources of the energy storage system must be allocated ahead of time, and account for uncertainty in service delivery. This paper presents a method for scheduling these resources, which accounts for the limited resources of the ESS and includes a cost based optimization, which selects the service portfolio with the greatest expected value. The algorithms presented have been implemented as part of the Smarter Network Storage project, and are now being used to schedule the largest battery storage installation in the UK.


Publication metadata

Author(s): Greenwood DM, Wade NS, Taylor PC, Papadopoulos P, Heyward N, Alilat S

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: IEEE Power and Energy Society General Meeting 2016

Year of Conference: 2016

Online publication date: 14/11/2016

Acceptance date: 02/04/2016

Date deposited: 18/10/2016

ISSN: 1944-9933

Publisher: IEEE Power and Energy Society

URL: https://doi.org/10.1109/PESGM.2016.7741684

DOI: 10.1109/PESGM.2016.7741684

Library holdings: Search Newcastle University Library for this item

ISBN: 9781509041688


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