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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Keywords

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