IEEE Power & Energy Magazine - Grid Edge 2023 - 50

Project/Demo
table 1. A summary of field validation results for the PowerMatcher.
Results
Description
Crisp field experiment Flexibility sourced from industrial and
household sites reacting to fluctuations
in wind energy generation.
Microcogeneration
field experiment
Flexibility from microcogeneration units
at households used to perform peakload
reduction in a distribution grid.
PowerMatching City Demonstration of simultaneous
optimization for energy trade and active
distribution management. It included a
value assessment of end user flexibility.
Smart-charging
electrical vehicles
(EVs)
SmartHouse/
SmartGrid scalability
field experiment
EcoGrid EU
demonstration
A series of tests with smart-charging
EVs coordinated using PowerMatcher,
backed by large-scale simulation study
(Grid4Vehicles project).
Scalability stress test of large-scale
information communications technology
(ICT) architecture connected to a cluster
of real households.
Large-scale demonstration of a novel
real-time market involving 5-min
electricity prices communicated to
about 1,800 households, of which
a subset ran PowerMatcher's ICT
architecture.
Couperus
Approximately 300 apartments
with heat pumps (HPs) involved
in simultaneous optimization for
energy trade and active distribution
management.
Electricity market related gain: wind
imbalance reduction of 40%.
Distribution grid peak-load-reduction
of 30% (during summer) to 50% (during
winter).
Based on the demo's outcomes, the value
of end user flexibility in The Netherlands
may reach an estimated €3.5 billion
(US$2.8 billion). The Netherlands has a
population of 17 million people.
Active network management: distribution
grid peak-load-reductions of 30-35%.
Year
2005-2006
2006-2007
2009-2015
First EV test:
about 2007;
Grid4Vehicles
simulation:
2010
Scalability beyond 1 million customers is
feasible.
Large-scale roll-out experience for
price-based and transactive smart grid
technologies. Unleashed flexibility from a
large number of heat pumps, making 20%
of their power consumption shiftable in
time.
Electricity market related gain: wind
imbalance reduction of 80%.
Active network management: proof
of principle of locational-price based
congestion management. Operation of
HPs shiftable up to eight hours.
temperature of 19°, then his/her heat pump's agent will keep
the temperature between 18.6 and 19.4 °c. a temperature
variation in such a narrow bandwidth is not noticed by the
2010
2011-2015
2011-2015
resident, while it allows the agent to postpone activation of a
heat pump by six to eight hours.
during the demonstration, the wind imbalance was
reduced by more than 80%. at the same time the system
showed it was capable of performing locational-price based
congestion management in the local distribution grid.
figure 9. The Couperus building in The Hague, The Netherlands,
was used as a TE test site. (Photo courtesy of Van
Dongen-Koschuch Architects and Planners.)
50
ieee power & energy magazine
Lessons Learned
the analysis results from these demonstrations indicate that
independent decision making based on a frequently updated
market-based signal can regulate the overall feeder load for
economic and reliability benefits. automation with simple
user interfaces and program design is important to make this
work. the technology must also be inexpensive and simple
to install and maintain. the costs of deploying specialized
communications and automation that can host the intelligent
agents will likely lead to deployment approaches that incorporate
these technologies for additional purposes (such as
general building automation, premises security, or healthmonitoring
systems).
may/june 2016
IEEE Power & Energy Magazine - Grid Edge 2023

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