Transcript Diapositive 1 - CIRED • International Conference on Electricity

EARLY FINDINGS OF AN
ENERGY STORAGE
PRACTICAL DEMONSTRATION
Peter LANG - UK Power Networks
Neal WADE and Philip TAYLOR – Durham University
Peter JONES ABB UK and Tomas LARSSON ABB Sweden
Authors Peter LANG and Neal WADE
LANG – UK – S4 – 0413
Frankfurt (Germany), 6-9 June 2011
Background
Many documents have been written about the
theoretical benefits of energy storage
 In 2005 AuraNMS set out to research network
optimisation taking into account DG and
Electrical energy storage
 The energy storage device was to be designed,
supplied and installed by ABB
 UKPN had to find a site where the anticipated
benefits could be demonstrated

Frankfurt (Germany), 6-9 June 2011
Network and Location Requirements
Connected to an 11kV distribution network
 Wind generation nearby
 Demand profiles that change
 Away from the primary substation
 Be able to assess the benefits e.g. voltage
support, losses reduction, increase quality of
supply and many more that are of value to other
network users

Frankfurt (Germany), 6-9 June 2011
Candidate Network
Frankfurt (Germany), 6-9 June 2011
Preparation
Assess the distribution network
 Obtain planning permission
 Lease the land
 Design review
 Appoint CDM co-ordinator
 Arrange contractors

Frankfurt (Germany), 6-9 June 2011
Delivery, Installation and Commissioning
Frankfurt (Germany), 6-9 June 2011
The Energy Storage Device
Frankfurt (Germany), 6-9 June 2011
Characteristics of DynaPeaQ
Li-ion Batteries from SAFT
 200 kW for 1 hour
 600 kvar inductive 725 kvar capacitive
 Controlled by ABB’s MACH2 control system


Operating as intended
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The next phase…
Frankfurt (Germany), 6-9 June 2011
Realising Benefits on the Network
Frankfurt (Germany), 6-9 June 2011
Network Instrumentation

Measurement of:
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real power
reactive power
voltage
Industrial PC:

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data processing
communications
Frankfurt (Germany), 6-9 June 2011
Test Programme
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Initial
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Gradual ramping of power exchanges
Pre-determined ESS set-points
Operation at ‘quiet’ times
Operational
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Power exchanges dictated by prevailing
network conditions
Voltage control
Power flow management
Frankfurt (Germany), 6-9 June 2011
Control Algorithm
Steady-state
 Rule based
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respond to triggers on network
manage battery state-of-charge
Example:
Frankfurt (Germany), 6-9 June 2011
Network interventions
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Voltage control:
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in response to local or remote measurements.
Power flow management:
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supply reactive power (wind-farm Q demand),
supply real power (thermal constraint),
peak shaving,
absorb real power (wind-farm generation),
absorb real power (reverse power flow), and
loss minimisation.
Frankfurt (Germany), 6-9 June 2011
Assessing the Benefits
Reduction in primary reverse-power-flow
35
30
Event count

25
20
15
10
5
0
Time of day
0.4 MW
0.3 MW
0.2 MW
0.1 MW
0.0 MW