ntroduction
The forecast electrification of key UK infrastructure such as heat
and transport required by the UK government’s aggressive CO2
targets will result in major changes to the planning, design and
operation of the UK’s electrical infrastructure. This paper describes
research undertaken by projects funded by the UK energy
regulator’s (Ofgem) Low Carbon Network Fund (LCNF) and the
Engineering and Physical Sciences Research Council (EPSRC). A trial
of electrical energy storage (EES) has been carried out by UK Power
Networks (UKPN), ABB, Durham University and Newcastle University
to evaluate the use of EES on distribution networks. This project
was originally part of the AuRA-NMS Strategic Partnership
between the EPSRC, Scottish Power Energy Networks, ABB and
UKPN (formerly EDF Energy Networks) [1,2]. Subsequent work,
focussing on the deployment of the EES system, was the first project
to register in the LCNF as a First Tier project [3,4]. The validated
network and LCT models described in this work come from
the Customer Led Network Revolution (CLNR) project programme
[5] again funded by Ofgem’s LCNF. This is the UK’s largest smart.
grid project thus far with metering data from over 20,000 industrial,
commercial and residential customers as well a smart grid
trial programme of over 87 smart grid interventions.
In this work the resultant realistic load, generation, network
and EES models are used collaboratively to evaluate, using a formalised
methodology, the impact that EES could have on future distribution
networks. This formalised methodology can be used to
evaluate the capability of these networks, equipped with EES or
other advanced interventions, to connect the anticipated large
scale proliferation of LCTs. This approach will enable DNOs to make
more informed network planning, design and operational decisions
based on a combination of realistic models based on trial results.
ntroductionThe forecast electrification of key UK infrastructure such as heatand transport required by the UK government’s aggressive CO2targets will result in major changes to the planning, design andoperation of the UK’s electrical infrastructure. This paper describesresearch undertaken by projects funded by the UK energyregulator’s (Ofgem) Low Carbon Network Fund (LCNF) and theEngineering and Physical Sciences Research Council (EPSRC). A trialof electrical energy storage (EES) has been carried out by UK PowerNetworks (UKPN), ABB, Durham University and Newcastle Universityto evaluate the use of EES on distribution networks. This projectwas originally part of the AuRA-NMS Strategic Partnershipbetween the EPSRC, Scottish Power Energy Networks, ABB andUKPN (formerly EDF Energy Networks) [1,2]. Subsequent work,focussing on the deployment of the EES system, was the first projectto register in the LCNF as a First Tier project [3,4]. The validatednetwork and LCT models described in this work come fromthe Customer Led Network Revolution (CLNR) project programme[5] again funded by Ofgem’s LCNF. This is the UK’s largest smart.grid project thus far with metering data from over 20,000 industrial,commercial and residential customers as well a smart gridtrial programme of over 87 smart grid interventions.In this work the resultant realistic load, generation, networkand EES models are used collaboratively to evaluate, using a formalisedmethodology, the impact that EES could have on future distributionnetworks. This formalised methodology can be used toevaluate the capability of these networks, equipped with EES orother advanced interventions, to connect the anticipated largescale proliferation of LCTs. This approach will enable DNOs to makemore informed network planning, design and operational decisionsbased on a combination of realistic models based on trial results.
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