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Flexibility Framework With Recovery Guarantees for Aggregated Energy Storage Devices

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Sep 2022Embargo end date: 01 Jan 2021 Netherlands, United Kingdom, Italy Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Smart Grid, volume 13, pages 3,519-3,531 (issn: 1949-3053, eissn: 1949-3061,

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

doi: 10.1109/tsg.2022.3173900 , 10.48550/arxiv.2110.08549

arXiv: 2110.08549 , http://arxiv.org/abs/2110.08549

handle: 2158/1289510 , 10044/1/98222

Flexibility Framework With Recovery Guarantees for Aggregated Energy Storage Devices

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Abstract

This paper proposes a framework for the procurement of flexibility reserve from aggregated storage fleets. It allows for arbitrary tree structures of aggregation hierarchy, as well as easily implementable disaggregation via broadcast dispatch. By coupling discharge and recovery modes, the proposed framework enables full-cycle capacity to be procured ahead of real time, with guaranteed recovery and exact accounting for losses. The set of feasible discharging requests is exactly encoded, so that there is no reduction in the ability to meet discharging signals, and recovery capabilities are parametrised as a single virtual battery. Included in this paper is a numerical demonstration of the construction of the constituent curves of the framework and the approach is also benchmarked against relevant alternatives.

Countries

Netherlands, United Kingdom, Italy

Related Organizations

The Alan Turing Institute
United Kingdom
Delft University of Technology
Netherlands
University of Florence
Italy
Imperial College London
United Kingdom
The Alan Turing Institute
United Kingdom

Keywords

690, Technology, Aggregates, virtual power plant, 330, ancillary service, 0915 Interdisciplinary Engineering, virtual battery, Batteries, optimal control, Engineering, DEMAND RESPONSE, MANAGEMENT, FOS: Mathematics, OPTIMIZATION, Real-time systems, Virtual power plants, Mathematics - Optimization and Control, Aggregates; Batteries; Real-time systems; Transforms; Encoding; Discharges (electric); Virtual power plants; Flexibility; aggregation; virtual power plant; energy storage systems; optimal control; ancillary service; virtual battery, Science & Technology, aggregation, Engineering, Electrical & Electronic, Transforms, 004, MODEL, 0906 Electrical and Electronic Engineering, Optimization and Control (math.OC), Discharges (electric), Encoding, Electrical & Electronic, OPERATION, energy storage systems, Flexibility

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).	3
	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.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average