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A Graphical Measure of Aggregate Flexibility for Energy-Constrained Distributed Resources

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Journal , Other literature type 01 Jan 2020Embargo end date: 01 Jan 2018 Italy, United Kingdom, Netherlands Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Smart Grid, volume 11, pages 106-117 (issn: 1949-3053, eissn: 1949-3061,

Authors: Michael P. Evans; Simon H. Tindemans; David Angeli;

doi: 10.1109/tsg.2019.2918058 , 10.48550/arxiv.1805.09315

arXiv: http://arxiv.org/abs/1805.09315 , 1805.09315

handle: 2158/1189419 , 10044/1/69754

A Graphical Measure of Aggregate Flexibility for Energy-Constrained Distributed Resources

- Summary
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Abstract

We consider the problem of dispatching a fleet of heterogeneous energy storage units to provide grid support. Under the restriction that recharging is not possible during the time frame of interest, we develop an aggregate measure of fleet flexibility with an intuitive graphical interpretation. This analytical expression summarises the full set of demand traces that the fleet can satisfy, and can be used for immediate and straightforward determination of the feasibility of any service request. This representation therefore facilitates a wide range of capability assessments, such as flexibility comparisons between fleets or the determination of a fleet's ability to deliver ancillary services. Examples are shown of applications to fleet flexibility comparisons, signal feasibility assessment and the optimisation of ancillary service provision.

Countries

Italy, United Kingdom, Netherlands

Related Organizations

Imperial College London
United Kingdom
Delft University of Technology
Netherlands
University of Florence
Italy

Keywords

330, ancillary service, coordination of storage, Systems and Control (eess.SY), 0915 Interdisciplinary Engineering, Electrical Engineering and Systems Science - Systems and Control, optimal control, FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Mathematics - Optimization and Control, math.OC, aggregation, 621, cs.SY, 620, 0906 Electrical and Electronic Engineering, Optimization and Control (math.OC), Distributed resources, energy storage systems

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	19
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%