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DEPARTMENT OF ENERGY TECHNOLOGY
AALBORG UNIVERSITY
INTELLIGENT ENERGY SYSTEMS & ACTIVE NETWORKS
Jayakrishnan Pillai
[email protected]
Organisation
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Intelligent Energy Systems & Active Networks
Research Focus
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Grid integration of Distributed Generation
Electric Distribution System Analysis
Power System Stability & Reliability
System Protection at LV/MV Grids
Smart metering, Demand Response and
Demand Side Management
Power to Heat (P2H), Power to Gas
(P2G),
Power
to
storage
and
transportation systems (V2G)
Management
of
Energy
Storage
Technologies
Hierarchical and Distributed Control
Power Quality and Power conditioning
Network planning including forecast
methods
http://www.et.aau.dk/research-programmes/intelligent-energy-systems-and-active-networks//
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E-Mobility and Industry Drives
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Intelligent Energy Systems and Active Networks
Ongoing Research Projects
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DiCYPS: Center for Data-Intensive Cyber-Physical Systems (2015-2020)
DECODE: (2016-2019)
RemoteGrid: (2016-2019)
Livø: Videre implementering af energi forsyningsløsninger ForskVE projekt (2015-2018)
ISGAN-SIRFN: International Energy Agency (IEA) Implementing Agreement for a Co-operative
Programme on Smart Grids (2016-2017)
SuPREME: Twinning for a Sustainable, Proactive Research partnership in distributed Energy
systems planning, Modelling and Management (2015-2018)
RePlan: Facilitating resilient power system with ancillary services from Renewable Power Plants
(2015-2018)
Arrowhead (2013 – 2017)
TotalFlex (2012-2016)
Efficient Distribution of Green Energy (EDGE) (2012-2016)
Control, Protection and Demand Response in Low Voltage Distribution Grid (2012-2016)
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Research Projects – EVs in Smart Grids
1. CEESA (Innovation Fund) - System Level integration of Electric Vehicles
for power balancing purposes
2. FHEEL - Tomorrow’s high-efficiency electric car integrated with the power
supply system (EU-ERPD) : Local Grid Impacts of Electric Vehicles
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Research Projects – EVs in Smart Grids
3. CPDR - Control, Protection and Demand Response in Low Voltage Grids (ForskEL) –
Control and Coordination of EVs at the electric distribution levels for demand response
and ancillary services.
4. EDGE - Efficient Distribution of Green Energy (Innovation Fund) : Local and
System level integration (DSO-TSO interface) for utilising EV flexibility for system
balancing purposes.
5. SEEMPS - Development of a Secure, Economic and Environmentally-friendly
Modern Power System (Innovation Fund) : Optimal interaction of the grid with other
parts of the energy system, including heating and transportation, such as electric
boilers, heat pumps, electric and plug-in hybrid vehicles.
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Integration of EVs in Distribution Grids
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Typically the distribution grids are not
dimensioned for flexible loads of sizeable power
ratings like electric vehicles, heat pumps etc.
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Large influx of distributed energy resources in
local distribution networks pose serious
challenges for
managing grid bottlenecks,
congestions, voltage regulation, power quality
standards etc.
Source: P.Lund, Energinet & Eurelectric
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Integration of EVs in Distribution Grids
(LV-I)
(LV-III)
(LV-II)
Source: google maps
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Low voltage (LV) grids located at Brønderslev, owned by NYFORS (DSO).
Three Residential grids with 84, 166 and 75 houses respectively.
FHEEL Project
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Integration of EVs in Distribution Grids
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The main grid bottleneck in these low voltage distribution grids for large integration of the
electric vehicles is voltage compared to other parameters like the capacity of the transfomer
or cables and power losses.
The LV transformers have sufficient head-space available for flexible load control, could be
loaded close to their ’energy limit’ by flexible/smart charging of EVs to support high wind
power penetration.
FHEEL Project
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Integration of EVs in Distribution Grids
(LV Grid )
Source: google maps
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Low voltage (LV) grid located at Støvring, owned by HEF (DSO).
LV grid with 137 private users – residential, agriculture, commercial
SEEMPS Project
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Integration of EVs in Distribution Grids
(LV Grid )
SEEMPS Project
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Integration of EVs in Distribution Grids
Electricity cost savings (%) from optimal charging
of EVs when compared to normal charging
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Voltage profiles of different feeders (last nodes) of LV-I , LV-II and LV-III
grids for optimal charging & high charging hours of EVs
Weekend/Weekday (Winter & Summer) household demand and Danish EV driving profiles
are considered.
Normal charging of EVs as soon as they arrive & optimal charging based on cheap electricity
price hours.
FHEEL Project
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Integration of EVs in Distribution Grids
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Unit Control (UC)
 Household level.
 Maintain the State of Energy (HP) & State of
Charge (EV) within the stated limits.
Subsystem Control (SSC)
 LV Grid Feeder level.
 Monitors the n households in the SS.
 Acts over the HPs and PEVs under its
domain.
Distributed Grid Control (DGC)
 LV Substation level.
 Monitor & acts over the n SSs in the grid.
 Equalize the energy stored in the different
SSs.
Residential LV Grid - Divided in 9 Sub Systems
166 Private Users + 83 HPs (50%) + 45 EVs (25%)
SEEMPS Project
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Integration of EVs in Distribution Grids
Winter day
SEEMPS Project
Summer day
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Smart Energy Systems Laboratory
http://www.et.aau.dk/department/laboratory-facilities/smart-energy-systems-lab/
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Thank you for your attention!
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