architecture - tno · enterprise systems using data traffic at mass-applic ation strengths. •...
TRANSCRIPT
![Page 1: Architecture - TNO · Enterprise Systems using Data Traffic at Mass-Applic ation Strengths. • Main Objectives: -Validation of Multi-Agent Systems-based Aggregation o f Smart Houses](https://reader033.vdocuments.mx/reader033/viewer/2022050608/5faf2226bc9f4e7130605f71/html5/thumbnails/1.jpg)
www.ecn.nl
Architecture
WP2 –Architecture Meeting
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5-3-2009
WP 2:
Arc
hitectu
re a
nd S
erv
ice S
pecific
ation
2
Utilit
y/T
SO
sig
na
lL
oa
d o
r D
evic
e
Co
ntr
olle
r
co
mm
an
d
Utilit
y/T
SO
Lo
ad
or
De
vic
e
Co
ntr
olle
r
co
mm
an
d
Utilit
y/T
SO
sch
ed
ule
or
pri
ce
sch
em
eL
oa
d o
r D
evic
e
Co
ntr
olle
r
co
mm
an
d
pro
ce
ss in
form
atio
n
Traditional Load Shedding
: a
sig
na
l is
sen
t to
a d
em
an
d s
ite,
an
d r
esu
lts in a
loa
d c
on
trol co
mm
and
to
a d
evic
e o
r devic
e c
ontr
olle
r
(usu
ally
sh
edd
ing
lo
ad)
Centralized Control:
pro
ce
ss info
rmatio
n is s
ent
to t
he u
tilit
y/T
SO
; th
e U
tilit
y/T
SO
op
tim
izes c
ontr
ol o
f a c
luste
r of
de
vic
es a
nd
se
nds a
sche
du
le fo
r o
pe
ration o
r a
pri
ce s
ch
em
e t
o a
de
ma
nd o
r sup
ply
site
; th
e s
che
du
le o
r p
rice
schem
e,
tog
eth
er
with
opera
tio
na
l pro
ce
ss
info
rma
tion
, is
tra
nsfo
rmed
into
a loa
d c
ontr
ol com
ma
nd
to
be
se
nt to
a d
evic
e o
r de
vic
e c
ontr
olle
r
Price-based Demand Response
: b
usin
ess lo
gic
(usua
lly a
pri
ce
sig
nal)
is s
en
t to
a d
em
an
d s
ite
, w
here
, b
ase
d o
n inte
rna
l sta
te,
an in
telli
ge
nt p
rocess tra
nsfo
rms t
he
bu
sin
ess log
ic into
a load
co
ntr
ol com
ma
nd t
o a
de
vic
e o
r d
evic
e c
on
trolle
r
Filt
er
Inte
llig
en
ce
Inte
llig
en
ce
pro
ce
ss in
form
atio
n
pro
ce
ss in
form
atio
n
pri
ce
an
d/o
r
bu
sin
ess lo
gic
Utilit
y/T
SO
pri
ce
an
d/o
r
bu
sin
ess lo
gic
Lo
ad
or
De
vic
e
Co
ntr
olle
r
co
mm
an
d
bid
PowerMatcher Coordination
: bid
s a
re s
en
t by a
local a
ge
nt to
th
e u
tilit
y/T
SO
ba
sed
on
th
e s
tate
of
a d
evic
e;
ba
sed
on
th
ese
bid
s a
pri
ce
sig
nal (p
lus o
ther
bu
sin
ess log
ic)
is s
en
t to
a d
em
an
d o
r su
pp
ly s
ite;
the
re it is
tra
nsfo
rmed
by t
he
ag
en
t in
to a
loa
d c
on
trol co
mm
and
to
be
sent
to a
devic
e o
r d
evic
e c
on
trolle
r
Po
we
rMa
tch
er
Ag
en
t
pro
ce
ss in
form
atio
n
Traditional
Load Shedding
Centralized
Control
Price-based
Demand Response
Coordination
![Page 3: Architecture - TNO · Enterprise Systems using Data Traffic at Mass-Applic ation Strengths. • Main Objectives: -Validation of Multi-Agent Systems-based Aggregation o f Smart Houses](https://reader033.vdocuments.mx/reader033/viewer/2022050608/5faf2226bc9f4e7130605f71/html5/thumbnails/3.jpg)
5-3-2009
WP 2:
Arc
hitectu
re a
nd S
erv
ice S
pecific
ation
3
Architecturalrequirements
•D
iffe
rent in
frastr
uctu
res ⇒
flexibility
•D
iffe
rence b
etw
een d
evic
es ⇒
flexibility
•D
iffe
rent scale
s ⇒
scalability
•D
iffe
rent pla
tform
s ⇒
portability
•C
onsum
er
devic
es ⇒
cost, form factor
low power, reliability
![Page 4: Architecture - TNO · Enterprise Systems using Data Traffic at Mass-Applic ation Strengths. • Main Objectives: -Validation of Multi-Agent Systems-based Aggregation o f Smart Houses](https://reader033.vdocuments.mx/reader033/viewer/2022050608/5faf2226bc9f4e7130605f71/html5/thumbnails/4.jpg)
5-3-2009
WP 2:
Arc
hitectu
re a
nd S
erv
ice S
pecific
ation
4
Overview
PowerMatcher
Server
Agent
Heat pump
MicroCHP
Auction-
eer Agent
Internet
Agent
Agent
Home
network
Home
Concentrator
Agent
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5-3-2009
WP 2:
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hitectu
re a
nd S
erv
ice S
pecific
ation
5
Architecture 1: Fully integrated agent
Gateway
PowerMatcher Unit
Device
PowerMatcher
Agent
Devic
e
Soft
ware
Devic
e
Optim
isation
Inte
lligence
Agent
Module
Com
muni-
cation
Pow
er
Matc
her
Module
Com
muni-
cation
Modem
/
Eth
ern
et/
AD
SL/e
tc
Com
muni-
cation
Gateway
PM-network
Agent
![Page 6: Architecture - TNO · Enterprise Systems using Data Traffic at Mass-Applic ation Strengths. • Main Objectives: -Validation of Multi-Agent Systems-based Aggregation o f Smart Houses](https://reader033.vdocuments.mx/reader033/viewer/2022050608/5faf2226bc9f4e7130605f71/html5/thumbnails/6.jpg)
5-3-2009
WP 2:
Arc
hitectu
re a
nd S
erv
ice S
pecific
ation
6
Architecture 2: limited interface agent
Gateway
PowerMatcher Unit
Device
PowerMatcher
Agent
De
vic
e
Soft
ware
De
vic
e
Op
tim
isa
tio
n
Inte
llig
en
ce
Age
nt
Mo
du
leC
om
mu
ni-
cation
Po
wer
Ma
tch
er
Mod
ule
Mod
em
/
Eth
ern
et/
AD
SL
/etc
Co
mm
un
i-
ca
tio
n
Com
mu
ni-
cation
Gateway
PM-network
Interface
Agent
![Page 7: Architecture - TNO · Enterprise Systems using Data Traffic at Mass-Applic ation Strengths. • Main Objectives: -Validation of Multi-Agent Systems-based Aggregation o f Smart Houses](https://reader033.vdocuments.mx/reader033/viewer/2022050608/5faf2226bc9f4e7130605f71/html5/thumbnails/7.jpg)
5-3-2009
WP 2:
Arc
hitectu
re a
nd S
erv
ice S
pecific
ation
7
Architecture 3: no-ICT interface agent
Gateway
PowerMatcher Unit
Switchable
Plug-socket
PowerMatcher
Agent
Devic
e
Softw
are
Devic
e
Optim
isation
Inte
lligence
Agent
Module
Com
muni-
cation
Pow
er
Matc
her
Module
Modem
/
Eth
ern
et/
AD
SL/e
tc
Com
muni-
cation
Com
muni-
cation
Gateway
PM-network
Agent
![Page 8: Architecture - TNO · Enterprise Systems using Data Traffic at Mass-Applic ation Strengths. • Main Objectives: -Validation of Multi-Agent Systems-based Aggregation o f Smart Houses](https://reader033.vdocuments.mx/reader033/viewer/2022050608/5faf2226bc9f4e7130605f71/html5/thumbnails/8.jpg)
5-3-2009
WP 2:
Arc
hitectu
re a
nd S
erv
ice S
pecific
ation
8
Communicationindependent
Home
Network
Internet/
LAN
RPC
SOAP
Devic
e �
Age
nt �
Conce
ntr
ato
r/A
uctione
er
![Page 9: Architecture - TNO · Enterprise Systems using Data Traffic at Mass-Applic ation Strengths. • Main Objectives: -Validation of Multi-Agent Systems-based Aggregation o f Smart Houses](https://reader033.vdocuments.mx/reader033/viewer/2022050608/5faf2226bc9f4e7130605f71/html5/thumbnails/9.jpg)
5-3-2009
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hitectu
re a
nd S
erv
ice S
pecific
ation
9
cells -netw
orks of netw
orks
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5-3-2009
WP 2:
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hitectu
re a
nd S
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pecific
ation
10
DS
O
Energ
yS
up
plie
r
agent
Agent
PowerMatcher Agent
ConcentratorPowerMatcher Concentrator
Auctioneer
PowerMatcher Auctioneer
concen-
trator
concen-
trato
r
agent
concen-
trator
concen-
trato
r
concen-
trato
r
concen-
trato
ragent
agent
Smart HouseSmart Grid
•••
•••
•••
Load Devices
Metering Devices
Generation Units
User Interface
Multi Utility Control
Business Level
IRImbalance Reduction
RC
Reserve Capacity
CM
Congestion Management
WC
F/S
OA
P
WC
F/S
OA
P
WC
F/S
OA
P
SAP-Database
auctioneer
e-meter
Software
Architecture
CM
IR, RC
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5-3-2009
WP 2:
Arc
hitectu
re a
nd S
erv
ice S
pecific
ation
11
Interfaces PowerM
atcher SH/SG
Reference Business Cases:
Example for
Information/Interface
Partner1
Partner2
Proposed
Protocol/
Technology
Further layer
Bid
Agent, C
oncentr
ato
rC
oncentr
ato
r, A
uctio
neer
WC
F/S
OA
PT
CP
/IP
Real-tim
e p
rice
Auctio
neer,
Concentr
ato
rC
oncentr
ato
r, A
gent
WC
F/S
OA
PT
CP
/IP
Regis
try
and D
iscove
ryA
gent, C
oncentr
ato
r, A
uctio
neer
Netw
ork
Serv
ice
WC
F/S
OA
PT
CP
/IP
Fore
casts
(clim
ate
, m
ark
et)
Ext
ern
al P
ort
al /
Webserv
ice
Agent
SO
AP
or
XM
LT
CP
/IP
Ow
n e
nerg
y usage
Loads, G
enera
tors
Ele
ctr
icity
Mete
r
Realti
me m
ete
ring d
ata
Ele
ctr
icity
Mete
rC
usto
mer
Inte
rface M
ete
ring
Serv
ices / S
AP
Data
base
Ele
ctr
onic
bill
of custo
mer
SA
P-D
ata
base
Bill
-checki
ng a
pplic
atio
n o
n
custo
mer
inte
rface
? D
PW
S ?
TC
P/IP
Sensor
data
Load / G
enera
tor
Contr
olle
rA
gent
802.1
1 / R
F / P
LC
Sw
itchin
g c
om
mands
Agent
Load / G
enera
tor
Contr
olle
r802.1
1 / R
F / P
LC
Substa
tion L
oad
Substa
tion M
onito
ring
Substa
tion A
gent
Virtu
al P
ow
er
Pla
nt S
etp
oin
tV
PP
Opera
tor
VP
P A
gent
TC
P/IP
POWERMATCHER BASED: IMBALANCE REDUCTION -
RESERVE CAPACITY - CONGESTION MANAGEMENT
PowerMatcher MeteringLocal
Control
Business
Control
Out of pro
ject scope?
See IS
ET
ove
rvie
w
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5-3-2009
WP 2:
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hitectu
re a
nd S
erv
ice S
pecific
ation
12
Some remarks
•S
oft
ware
arc
hitectu
re f
its w
ell
with B
EM
I arc
hitectu
re
•A
ge
nts
repre
sent
devic
es a
t lo
w leve
l nod
es
•A
ge
nts
repre
sent
busin
ess c
ases a
t hig
her
leve
l nod
es
•S
oft
ware
pro
tocol based o
n S
OA
P/X
ML,
fits
well
with d
iffe
rent com
munic
ation m
ed
ia a
nd
with s
erv
ice o
riente
d a
rchitectu
re
•A
dva
nce
d m
ete
ring,
e.g
. need f
or
mete
ring
diffe
rentiation b
y d
evic
es
![Page 13: Architecture - TNO · Enterprise Systems using Data Traffic at Mass-Applic ation Strengths. • Main Objectives: -Validation of Multi-Agent Systems-based Aggregation o f Smart Houses](https://reader033.vdocuments.mx/reader033/viewer/2022050608/5faf2226bc9f4e7130605f71/html5/thumbnails/13.jpg)
www.ecn.nl
Architecture
WP3 –Field test A
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5-3-2009
WP 2:
Arc
hitectu
re a
nd S
erv
ice S
pecific
ation
14
WP 3A: Aggregation of SmartHouses&
Enterprise Systems Testing
•P
art
ners
: ECN (lead) & SAP
•F
ocus:
Automatic Aggregated Control of end-user systems for energy
efficiency combined with Testing of Information Exchange with
Enterprise Systems using Data Traffic at Mass-Application
Strengths.
•M
ain
Obje
ctives:
-V
alid
ation o
f M
ulti-A
gent S
yste
ms-b
ased A
ggre
gation o
f S
ma
rt
Houses for
ene
rgy e
ffic
iency e
nha
ncem
ent and e
lectr
icity t
rade
optim
ization u
tiliz
ing r
eal-tim
e v
ary
ing tariffs.
-T
esting the info
rmation e
xchange
of such a
syste
m w
ith E
nte
rprise
syste
ms (
e.g
. fo
r bill
ing)
at da
ta t
raffic
levels
of
ma
ss-a
pplic
ation
(~1,0
00
,000 c
usto
mers
).
•Location:
-C
luste
r of S
ma
rt H
ouses: N
L (
con
nection w
ith In
tegra
l P
roje
ct)
-D
ata
Aggre
gato
rs (
Contr
ol In
form
ation, M
ete
ring D
ata
): N
L
-E
nte
rprise S
yste
m S
erv
ers
: G
erm
an
y.
![Page 15: Architecture - TNO · Enterprise Systems using Data Traffic at Mass-Applic ation Strengths. • Main Objectives: -Validation of Multi-Agent Systems-based Aggregation o f Smart Houses](https://reader033.vdocuments.mx/reader033/viewer/2022050608/5faf2226bc9f4e7130605f71/html5/thumbnails/15.jpg)
5-3-2009
WP 2:
Arc
hitectu
re a
nd S
erv
ice S
pecific
ation
15
•C
ore
Functio
na
lity (
Re-)
Desig
n a
nd I
mple
menta
tion
•P
M C
ore
-C#,
.NE
T
-WC
F (
Win
do
ws C
om
munic
atio
n F
oundatio
n)
-Event-
base
d inte
ractio
ns
•A
ge
nt
Lib
rary
-WC
F/S
OA
P
•P
ow
erM
atc
her3
im
ple
menta
tion c
om
ple
ted in 2
008
•S
imu
lation e
nvironm
ent to
be c
om
ple
ted n
ext
month
•In
tegra
l field
test second q
uart
er
of
2009
Version 3, current status
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5-3-2009
WP 2:
Arc
hitectu
re a
nd S
erv
ice S
pecific
ation
16
Software
Decomposition
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5-3-2009
WP 2:
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hitectu
re a
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ice S
pecific
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17
WP 3.A Setup
Maintenance
Maintenance
Maintenance
Maintenance
Application
Application
Application
Application
Production
Production
Production
Production
Planning
Planning
Planning
Planning
CRM
CRM
CRM
CRM
En
terp
rise
Se
rvic
es
Service
Service
Service
Bu
sin
ess
Pro
cess
Mo
nit
ori
ng
Bu
sin
ess
Ru
le E
ng
ine
Ale
rt
Me
ter
Me
ter
Me
ter
Concentrator
Me
ter
Me
ter
Me
ter
Me
ter
Me
ter
Me
ter
Concentrator
ap
pro
x. 1
00
rea
l da
ta
con
cen
tra
tors
ap
pro
x. 1
00
0 0
00
re
al a
nd
mim
ick
ed
me
ters
ap
pro
x.
10
00
0
mim
icke
d d
ata
con
ce
ntr
ato
rs
Fie
ld C
lust
er
of
rea
l Sm
art
Ho
use
s
![Page 18: Architecture - TNO · Enterprise Systems using Data Traffic at Mass-Applic ation Strengths. • Main Objectives: -Validation of Multi-Agent Systems-based Aggregation o f Smart Houses](https://reader033.vdocuments.mx/reader033/viewer/2022050608/5faf2226bc9f4e7130605f71/html5/thumbnails/18.jpg)
5-3-2009
WP 2:
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hitectu
re a
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18
Simulation Tool, old
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5-3-2009
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hitectu
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Simulation Tool, old, 2
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hitectu
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20
•N
ew
desig
n in P
ow
erM
atc
her3
•A
ge
nts
as a
uto
nom
ou
s p
rocesse
s
Simulation Tool, new, 3
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hitectu
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21
FlexDiModel
FlexDiModel
FlexDiModel
FlexDiModelSimulation
Simulation
Simulation
Simulation- ---Lelystad Model
Lelystad Model
Lelystad Model
Lelystad Model
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5-3-2009
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hitectu
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ation
22
FlexDiModel
FlexDiModel
FlexDiModel
FlexDiModelSim
ulation
Sim
ulation
Sim
ulation
Sim
ulation– –––Bee
Bee
Bee
BeeModel
Model
Model
Model
Building and Energy
Building and Energy
Building and Energy
Building and Energy Equipment
Equipment
Equipment
Equipment
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5-3-2009
WP 2:
Arc
hitectu
re a
nd S
erv
ice S
pecific
ation
23
FlexDiModelSim
ulation
•(E
CN
) netw
ork
sta
bili
ty,
respo
nse o
nslo
w v
ariations:
-w
ind s
peed v
ari
ations
-all
µC
HP
sta
rtin
gup m
ore
or
less
the s
am
etim
e (
morn
ing
situation)
-all
PV
varies
str
ong
more
or
less
the s
am
etim
e (
movin
gclo
uds)
-lo
ad
vari
atio
ns
-heat
variations
(µC
HP
).
As t
hese e
vents
all
dep
end
on
the localclim
ate
, th
ey
shou
ld
depe
nd
on
the v
ery
sam
eclim
atic
data
file
in o
rder
to g
et
the
rig
ht
ord
er
of
events
in t
he t
ime d
om
ain
. T
his
alread
yis
the c
ase
with
the
BE
E_m
ode
l (E
CN
).
•2.
(TU
/e)
netw
ork
sta
bili
ty,
response o
nfa
st
variatio
ns:
-short
circuit in t
he n
etw
ork
(re
sultin
gin
volta
ge a
nd p
hase
ste
p)
-sw
itch-o
ffof
the t
ota
lW
ind f
arm
during
peak
opera
tion
-huge
load
ste
ps.