Poster Presentation at the IEEE PES General Meeting. The Common Information Model (CIM) is considered the most prominent data model for power systems information exchange between Transmission System Operators (TSO), facilitating coordination of TSO for steady-state operation. However, information exchange should also consider power systems dynamic models required to perform dynamic simulations so to coordinate TSOs operations under emergency conditions. This work describes the design and implementation of a mapping between CIM and Modelica. The Modelica models provide a strict mathematical representation of power system dynamic models using a standardized modeling language. The proposed solution combines both modeling languages, thus providing a CIM-compliant unambiguous power system model exchange and simulation solution considering both steady-state and dynamic models.

1. 1. Ini&al
values
of
variables:
ini&al
equa&on
construct
or
by
se7ng
the
(fixed=true, start=x0) a:ribute
of
the
instance
variables.
2. Ini&al
value
of
parameters:
se7ng
its
a:ribute
to
be
(fixed=false, start=x0),
the
ini&al
value
is
implicitly
computed
during
ini&aliza&on
and
keep
its
value
throughout
the
simula&on.
3. To
keep
a
balance
between
the
same
number
of
unknowns
and
equa&ons,
for
each
unknowns,
an
extra
equa&on
should
be
provied
under
the
ini&aliza&on
sec&on.
The
iTesla
project
(2012-­‐2015)
received
funding
from
the
European
Union’s
Seventh
Programme
for
research,
technological
development
and
demonstraCon
under
Grant
Agreement
n°283012
Binding
CIM
and
Modelica
for
Consistent
Power
System
Dynamic
Model
Exchange
and
SimulaCon
1
Francisco
José
Gómez1
Luigi
Vanfre71,2
Svein
Harald
Olsen2
1KTH
Royal
Ins&tute
of
Technology,
Sweden
2Statne:
SF,
Norway
fragom@kth.se,
luigiv@kth.se,
svein.harald.olsen@statne:.no
Ø ENTSO-­‐E
regula&on
underling
need
of
coordinaCon
between
transmission
system
operators
(TSOs),
CIM
to
fulfill
the
func&ons
of
Regula&on
(EC)
714/2009”
Ø “use
a
common
transmission
model
dealing
efficiently
with
interdependent
physical
loop-­‐flows
and
having
regard
to
discrepancies
between
physical
and
commercial
flows”,
Ø “model
used
to
support
common
network
opera&on
tools
to
ensure
coordina&on
of
network
opera&on
in
normal
and
emergency
condi&ons”
Ø Propose
a
binding
of
Modelica
models
to
CIM,
allows
to
comply
with
the
EC
regula&on
while
assuring
unambiguous
modeling
and
simulaCon
of
power
system
dynamics
Ø Using
standardized
equaCon-­‐based
modeling
language
that
Ø Guarantees
a
strict
separaCon
of
the
model
from
the
numerical
solver
MoCvaCon
DescripCon
Towards
CIM
to
Modelica
Conclusion
References
ü Proposal
for
mapping
CIM
and
Modelica
for
unambiguous
model
informa&on
exchange
and
simula&on.
ü Mapping
offers
a
solu&on
for
assigning
start
values
to
con&nuous
(differen&al),
discrete
and
algebraic
state
variables
from
a
power
flow
solu&on
stored
in
a
CIM
data
model,
and
to
generate
the
corresponding
Modelica
classes
ü First
step
into
extending
the
CIM
(or
CGMES)
to
include
a
strict
mathema&cal
model
representa&on
of
power
system
dynamic
models.
ü Implementa&on
of
the
mapping
will
allow
execu&ng
&me-­‐domain
simula&ons
of
cyber-­‐physical
power
system
models,
using
Modelica
compiler
directly
from
their
CIM
defini&on.
[1]
F.
Gómez,
L.
Vanfre7,
Svein
H.
Olsen,
”A
Modelica-­‐Based
Execu&on
and
Simula&on
Engine
for
Automated
Power
system
Model
Valida&on”,
Innova&ve
Smart
Grid
Technologies
(ISGT)
Europe,
Istanbul,
Oct.
12-­‐15,
2014
[2]
T.
Bogodorova,
M.
Sabate,
G.
Leon,
L.
Vanfre7,
M.
Halat,
J.B.
Heyberger
and
P.
Pancia&ci,
"A
Modelica
power
system
library
for
phasor-­‐&me
domain
simula&on,"
2013
4th
IEEE/PES
Innova2ve
Smart
Grid
Technologies
Europe,
pp.1,5,
6-­‐9
Oct.
2013
[3]
G.
León,
M.
Halat,
M.
Sabaté,
JB
Heyberger,
F.J.
Gómez,
L.
Vanfre7,
“Aspects
of
Power
System
Modeling,
Ini&alizaton
and
Simula&on
using
Modelica
Language”,
PowerTech
Conference,
Eindhoven,
The
Netherlands,
June
29nd
–
July
3rd
2015
• Modelica
is
an
object-­‐oriented
equa&on-­‐based
programming
and
modeling
language,
which
allows
the
representa&on
of
cyber-­‐physical
systems
using
a
strict
mathema&cal
representa&on
Modelica
models
① Mapping
of
CIM
classes
with
Modelica
classes
/
models
② Automa&c
conversion
from
CIM
to
Modelica
using
the
mapping
③ Provision
of
‘start
values’
to
the
Modelica
model
(from
power
flow
solu&on)
–
State
Variable
Profile
in
CIM
④ Use
Modelica
model
for
&me
domain
simula&ons
• Dynamic
models
in
CIM
support
limited
informa&on
on
how
the
model
is
implemented.
For
a
dynamic
model
representa&on
in
CIM,
it
is
necessary
to
extend
CIM
to
support
exchange
of
the
models
representa&on
and
parameters
Common
InformaCon
Model
• Modeling
involves
in
interpreta&on
of
components
of
the
physical
world
and
their
proper&es,
and
an
understanding
of
the
physical
laws
that
bound
their
interac&on
• The
CIM
Standard
uses
UML
to
represent
the
seman&c
informa&on
of
a
real
power
system.
defines
all
the
basic
components
and
topology
of
the
power
network,
with
its
steady-­‐state
behavior.
• Automa&c
model
transforma&on
from
CIM
to
a
well
defined
(equa&on
based)
language
• Informa&on
exchange,
parameters
and
equa&ons
with
CIM
and
Modelica
Workflow