© 2014 linear - ieee smartgridcomm
TRANSCRIPT
© 2014 Linear
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Smart Grid in Flanders
Residential demand response, deployed and tested in the field
by a multi-stakeholder consortium
Started in 2009, finishes end 2014
9,5M€ by the Flemish government 30M€ in kind by the industrial partners
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239 Families
Mix of dispersed and concentrated families participate to Linear
Brussels,
Belgium
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445 smart postponable appliances
Smart Appliances
15 smart DHW buffers
7 Electrical Vehicles
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Metering
Solar: 94 Houses, 400kWp
110 Smart Meters
2 000 Sub-metering Plugs
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Whitegood configurations
Dishwashers perform best Confirmed in questionnaire
Underestimate, due to missed flex because of technical issues
Flex is concentrated in the evening, esp. for dishwashers
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Whitegood potential of Belgium
(extrapolation)
More flex in weekend, situated in
the afternoon and esp. the evening
Flexibility is asymmetric
Assumption: all Belgians participate
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© Eandis
Business Cases
Line Voltage Control
Can demand response help to reduce overvoltages and undervoltages in the
distribution grid?
Transformer Ageing
Can we lengthen the lifespan of the distribution grid transformers with demand response? Can we
postpone investments in bigger transformers?
Portfolio Management
Can demand response shift the energy use of families according to the day-ahead markets?
Intraday (Wind) Balancing
Can the energy supplier use demand response to correct intraday imbalances in its portfolio, caused by differences between predicted and
actually generated wind energy?
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© Eandis
Business Cases: whitegood flex
Line Voltage Control
Can demand response help to reduce overvoltages and undervoltages in the
distribution grid?
Transformer Ageing
Can we lengthen the lifespan of the distribution grid transformers with demand response? Can we
postpone investments in bigger transformers?
Portfolio Management
Can demand response shift the energy use of families according to the day-ahead markets?
Intraday (Wind) Balancing
Can the energy supplier use demand response to correct intraday imbalances in its portfolio, caused by differences between predicted and
actually generated wind energy?
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Cluster performance
ΔP and ΔC for 3 typical weeks
Good performance for +ΔP, bad performance for – ΔP
Asymmetry flexibility
Upper control limit ifo cluster size, consisting mainly of whitegoods:
Appr. 150W/household
