A MILP model for optimising multi-service portfolios of distributed energy storage
Author
dc.contributor.author
Moreno, Rodrigo
Author
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Moreira, Roberto
Author
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Strbac, Goran
Admission date
dc.date.accessioned
2015-08-13T14:47:24Z
Available date
dc.date.available
2015-08-13T14:47:24Z
Publication date
dc.date.issued
2015
Cita de ítem
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Applied Energy: Volume 137, 1 January 2015, Pages 554–566
en_US
Identifier
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doi:10.1016/j.apenergy.2014.08.080
Identifier
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https://repositorio.uchile.cl/handle/2250/132677
General note
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Artículo de publicación ISI
en_US
Abstract
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Energy storage has the potential to provide multiple services to several sectors in electricity industry and
thus support activities related to generation, network and system operation. Hence aggregating the value
delivered by storage to these sectors is paramount for promoting its efficient deployment in the near
future, which will provide the level of flexibility needed to deal with the envisaged high renewables share
and the increase in peak demand driven by transport and heating electrification. In this context, we
develop a Mixed Integer Linear Programming (MILP) model to schedule operation of distributed storage
by coordinating provision of a range of system services which are rewarded at different market prices.
The model maximises distributed storage’s net profit while providing distribution network congestion
management, energy price arbitrage and various reserve and frequency regulation services through both
active and reactive power control. We demonstrate benefits associated with the coordination of these
services and its impacts on commercial strategies to determine optimal multi-service portfolios in the
long term. We also demonstrate the value of reactive power control to support not only distribution
network congestion management, but also efficient trading of energy and balancing services which are
usually treated through active power-only control. In addition, we use the model to price the service
of distribution network congestion management and propose an efficient investment policy to upgrade
distribution network capacity in the presence of distributed storage. Finally, several case studies under
current market conditions in Great Britain (GB) demonstrate that distributed storage revenues associated
with frequency control services are significantly more profitable.
en_US
Patrocinador
dc.description.sponsorship
Conicyt (through Grants Conicyt/Fondecyt/Iniciacion/
11130612 and Conicyt/Fondap/15110019)