Binding CIM and Modelica for Consistent Power System Dynamic Model Exchange and Simulation
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The document discusses the integration of CIM (Common Information Model) and Modelica for modeling and simulating power systems, highlighting the need for a standardized approach to dynamic model representation and initial value assignment. It proposes a mapping solution that allows for automating the conversion between CIM classes and Modelica models, thereby enhancing interoperability and compliance with regulatory requirements. The implementation aims to facilitate time-domain simulations of cyber-physical power system models directly from CIM definitions.
![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](https://image.slidesharecdn.com/10gomezbindingcimtomodelicaposter-150725073929-lva1-app6891/85/Binding-CIM-and-Modelica-for-Consistent-Power-System-Dynamic-Model-Exchange-and-Simulation-1-320.jpg)
Binding CIM and Modelica for Consistent Power System Dynamic Model Exchange and Simulation
- 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 [email protected], [email protected], 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