Impact of forecast on control methods for customer-sited battery storage

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CIRED 2019 - 2016.pdf (759.2 KB)
Paper number
2016
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Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Cortes, Andres, Electric Power Research Institute (EPRI), USA
Garg, Aditie, Electric Power Research Institute (EPRI), USA
Abstract
This work explores the effect of forecast on model-based methods for control of energy storage. There are high-value applications of energy storage that require advanced control. Model Predictive Control (MPC), an optimization-based technique is a widely used example of model-based control. Depending on the application, MPC requires forecast of variables like demand, renewable generation, and electricity prices. We explore the performance of MPC using different forecast techniques, with varying levels of error. We analyse the deterioration of system performance when forecast error increases, for a customer-sited storage system under different settings.
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Publisher
AIM
Date
2019-06-03
Published in
CIRED 2019 Conference
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/688
http://dx.doi.org/10.34890/914
ISSN
2032-9644
ISBN
978-2-9602415-0-1