Flexibility framework with recovery guarantees for aggregated energy storage devices
File(s)DLR_bids.pdf (1.22 MB)
Accepted version
Author(s)
Evans, Michael P
Tindemans, Simon H
Angeli, David
Type
Journal Article
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.
Date Issued
2022-09-01
Date Acceptance
2022-05-01
Citation
IEEE Transactions on Smart Grid, 2022, 13 (5), pp.3519-3531
ISSN
1949-3053
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
3519
End Page
3531
Journal / Book Title
IEEE Transactions on Smart Grid
Volume
13
Issue
5
Copyright Statement
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://ieeexplore.ieee.org/document/9772074
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
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
DEMAND RESPONSE
OPTIMIZATION
MANAGEMENT
OPERATION
MODEL
0906 Electrical and Electronic Engineering
0915 Interdisciplinary Engineering
Publication Status
Published
Date Publish Online
2022-05-10