digital twin af thy-mors energis elnet · • virtual measurement systems and data collection...
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DIGITAL TWIN AF THY-MORS
ENERGIS ELNET
WEBINARER TIL UDBREDELSE AF KENDSKABET TIL DE DIGITALE
INITIATIVER #1: HVAD KAN DE FORSKELLIGE LABS?
9/9-2020
RASMUS OLSEN ([email protected]) /
FLORIN IOV ([email protected])
EU pro jec t Smar tC2Net
f o rmed in 2013 the background
f o r the c rea t i on o f the l abora to ry
A bas i c need to va l ida te smar t
g r i d con t ro l w i th ICT in the l oop
Background and motivation
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
FP7 Contract Number: FP7-ICT-318023
Sub programme Area: Smart Energy Grids
Start Date: 01.12.2012
End Date: 30.11.2015
Duration: 36 months
Project Cost: 4.9 million EUR
Project Funding: 3.48 million EUR
F a c t s
• S t a r t e d i n J u n e 2 0 1 3 f r o m “ n o t h i n g ” b u t E U R 2 5 . 0 0 0
• F u l l y o p e r a t i o n a l i n J u n e 2 0 1 5
• E s t i m a t e d H W & S W : + E U R 6 5 0 . 0 0 0
• l i s t e d i n J R C S m a r t G r i d L a b o r a t o r i e s I n v e n t o r y 2 0 1 8
• U s e d i n s e v e r a l p r o j e c t s : E U F P 7 S m a r t C 2 N e t , R e P l a n , R e m o t e G r i d , H 2 0 2 0 N e t 2 D G
• U s e d i n M S c t h e s i s - > c o n t r o l o f l a r g e w i n d / h y b r i d p o w e r p l a n t s
• C o l l a b o r a t o r s a n d S p o n s o r s
Smart Energy Systems Lab
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
Joint Research Centre
Smart Electricity Systems and Interoperability
In i t ia l Requi rements (2013)
Combine 3 doma ins
• Cont ro l & Op t im iza t i on
• ICT
• e lec t r i ca l g r i ds (a t l eas t )
Deve lop and tes t con t ro l app l i ca t ions
• Smar t Gr id
• Wind power p lan t con t ro l
• Energy management i nc lud ing op t im iza t ion
• I n te rac t i ons be tween d i f fe ren t energy doma ins /sys tems: e lec t r i ca l ,
t he rma l , mechan ica l
Tes t i ng smar t g r i d componen ts /sys tems
Smart Energy Systems Lab
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
Overview of archictecture
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
I m p l e m e n t e l e c t r i c a l , t h e r m a l - h y d r a u l i c d o m a i n s i n R e a l - T i m e H I L a n d P o w e r H I L
f r a m e w o r k
E x t e n s i v e R e a l - T i m e s i m u l a t i o n s b a s e d o n O p a l - R T p l a t f o r m
• U p t o 6 0 0 n o d e s / 2 0 0 3 - p h a s e b u s e s E M T
• U p t o 5 0 0 0 3 - p h a s e b u s e s R M S
I n t e r n a l 1 0 G B s E t h e r n e t L A N
• I C T e m u l a t i o n u s i n g K a u N e t a n d N S 3
• D i f f e r e n t t e c h n o l o g i e s : x D S L , L T E , 3 G , R F
• S t o c h a s t i c t r a f f i c m o d e l l i n g , T r a c e b a s e d t r a f f i c g e n e r a t i o n
• P e f o r m a n c e c h a n g e s a n d c o n g e s t i o n s , O n l i n e / o f f l i n e r e c o n f i g u r a t i o n
• C o m m u n i c a t i o n P r o t o c o l s : I E C 6 1 8 5 0 M M S / S V / G S E , I E C 6 0 8 7 0 1 0 4 , D L M S , O p e n A D R ,
U D P
• 8 T B I n t e r n a l r e p o s i t o r y
C o n t r o l & O p t i m i z a t i o n
• H o u s e h o l d m o d e l s i n c l u d i n g l o c a l e n e r g y / p o w e r m a n a g e m e n t
• R e n e w a b l e P l a n t c o n t r o l i n c l u d i n g G r i d M o n i t o r i n g M o d u l e ( B a c h m a n n E l e c t r o n i c s
s o l u t i o n s )
• P r i m a r y & S e c o n d a r y s u b s t a t i o n c o n t r o l l e r s b a s e d o n E F A C E C s o l u t i o n s
• H e a d - e n d s y s t e m f o r s m a r t m e t e r s
• D e m a n d r e s p o n s e p l a t f o r m
• V i r t u a l M e a s u r e m e n t S y s t e m s a n d D a t a C o l l e c t i o n M e c h a n i s m s
• O p t i m i z a t i o n u s i n g G u r o b i
V i s u a l i z a t i o n
• G I S m a p p i n g
Overview
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
P o s s i b i l i t y t o r u n a m i c r o - g r i d o r a p h y s i c a l s m a l l g r i d c o n n e c t e d t o a l a r g e R T m o d e l
F u l l y 4 Q P o w e r L i n e a r A m p l i f i e r ( G r i d s i m u l a t o r ) 5 0 k V A - > c o u p l e d w i t h O p a l - R T
• V o l t a g e a s y m m e t r i e s a n d f l i c k e r s
• H a r m o n i c s a n d i n t e r h a r m o n i c s u p t o 3 k H z
R e m o t e C o n t r o l l e d E m u l a t o r s
• D E R ( ± 2 0 k W / ± 1 0 k V A R ) : w i n d t u r b i n e , P V , e n e r g y s t o r a g e
• C o n t r o l l a b l e A C l o a d S i n g l e P h a s e ( 4 . 5 k W ) : l a r g e h o u s e h o l d l o a d
• C o n t r o l l a b l e A C l o a d s T h r e e P h a s e ( 3 x 2 . 8 k W ) : t y p i c a l h o u s e h o l d l o a d s
S m a r t M e t e r s : s i n g l e a n d t h r e e p h a s e
P V + S t o r a g e
• 3 k W P V p a n e l e m u l a t o r
• 6 k W h L i - I o n b a t t e r y
• 4 k W G r i d i n v e r t e r ( 2 p o r t s ) a n d f u l l a c c e s s
t o B M S
C u s t o m G r i d M o n i t o r i n g M o d u l e –
L V a p p l i c a t i o n s m a x 2 7 0 V / 2 5 A
• P o w e r / V o l t a g e q u a l i t y m e t r i c s
• P o i n t o f M e a s u r e m e n t f o r s y s t e m c o n t r o l
M o d e l b a s e d d e s i g n a p p r o a c h
E a s y t o a d d n e w c o m p o n e n t s / a c t o r s a n d
a s s i g n n e w r o l e s f o r e x i s t i n g H W / S W
Overview
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
Case: Thy-Mors Energi – substation 3011
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
Projects around that substation
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
Case: Thy-Mors Energi – substation 3011
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
Model
OPAL-RT
ICT
Applications
Objec t i ve o f the p ro jec t to make smar t meter ing data ava i lab le to
DSO’s f o r the i r t ime ly opera t i on o f the g r id as we l l as p lann ing purposes
• t ime ly col lec t the la rge amount o f data prov ided by the smar t
me te rs wh ich a re cons i s ten t w i th the rea l wor ld
• ensure completeness of the data which can be i ncomp le te be -cause
o f l eg i s la t i ve reasons , f a i l u res i n commun ica t i on to smar t mete rs or
er roneous because o f cyber a t tacks
• data is proper ly presented and v isua l i zed t o the human opera to rs
REliable MOniToring and Estimation of distribution GRID
for smart societies (RemoteGRID)
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
➢Data s to rage ,
p rocess ing and
ana ly t i cs
➢Data
co l l ec t ion and
access to smar t
me te rs v ia
concen t ra to rs
➢Measurements
o f g r i d s ta te
RemoteGRID
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
LV Distribution Customer Premises
Ente
rpri
seO
per
atio
nSt
ati
on
Fie
ldP
roce
ss
Smart Meters
Data Concentrator
RF Network
AMI Head-End
WAN
VISSMA FrontEnd
GISData BaseVISSMA BackEnd
Distribution GridReal-Time Digital Simulator
Distribution GridCustomers (loads, DER, etc)
Point of Measurements
LAN
VAMI
DBVHE AMA
VISSMA
Analytics
SES Deployment
RT-DSSE
Network EmulatorTraffic Generator
GRISESMELT
Validation of system components
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
Lab wi th runn ing mode l
V a l i d a t i o n
Deve lop a p roo f -o f -concep t
so lu t ion based on o f f - the -she l f
comput ing hardware tha t uses
ava i lab le commun ica t ion
techno log ies to l eve rage
measurement da ta f rom smar t
me te rs and smar t i nve r te rs i n Low
Vo l tage (LV) g r i ds
Use cases
- Ou tage de tec t i on and d iagnos is
- P reven t i ve ma in tenance
- Loss ca l cu la t ion and reco rd ing
- LV Gr id mon i to r i ng
- Au tomat i c vo l tage regu la t i ons
Net2DG – assessment of an ICT platform
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
Configuration and mapping of laboratory
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
T M E D e p l o y m e n t s e t u p
S t w L D e p l o y m e n t s e t u pL a b D e p l o y m e n t s e t u p
S y s t e m a r c h i t e c t u r e
LV Distribution Customer Premises
Ente
rpri
seO
per
atio
nSt
ati
on
Fie
ldP
roce
ss
Smart MetersDER InvertersRTU
SM Data Concentrator
AMI-HE
WAN
DSO Control Center
Distribution Grid
Real-Time Digital SimulatorDistribution Grid
Customers (loads, DER, etc)Point of Measurements (SM, RTU, DER-Inv)
LAN
VMS-AMI
VHEAMI
Analytics Apps
GUI
Analytics
SES Deployment
ICT-GWRT-App
Network EmulatorTraffic Generator
DER-HE RTU-HE
Data AggregatorSupervisory Control
VMS-INVVMS-EM
VHEDER
VHERTU
DSO-DB
Pr inc ip les o f us ing tes t bed fo r
assess ing LC ca lcu la t ion
Example: Evaluation of loss calculation
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
LV Distribution Customer Premises
Ente
rpri
seO
per
atio
nSt
ati
on
Fie
ldP
roce
ss
Smart MetersDER InvertersRTU
SM Data Concentrator
AMI-HE
WAN
DSO Control Center
Distribution Grid
Real-Time Digital SimulatorDistribution Grid
Customers (loads, DER, etc)Point of Measurements (SM, RTU, DER-Inv)
LAN
VMS-AMI
VHEAMI
Analytics Apps
GUI
Analytics
SES Deployment
ICT-GWRT-App
Network EmulatorTraffic Generator
DER-HE RTU-HE
Data AggregatorSupervisory Control
VMS-INVVMS-EM
VHEDER
VHERTU
DSO-DB
Example: What if – voltage control scenario
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
Detailed
model
OPAL-RT
ICT
Applications
0 20 40 60 80 100
Time (s)
1.03
1.035
1.04
1.045
1.05
1.055
1.06
1.065
Vo
ltag
e p
.u.
10
16
19
0 20 40 60 80 100
Time (s)
-3
-2
-1
0
1
2
3
Re
active
Po
we
r G
en
era
tio
n (
kV
ar)
19
16
10
• Unit 10 and 16 struggle to
get within bounds;
• Unit 10 thinks conditions
are OK…
Example: What if – voltage control scenario
18
20 40 60 80 100
Time (s)
1.025
1.03
1.035
1.04
1.045
1.05
1.055
1.06
1.065
Vo
ltag
e p
.u.
10
16
19
0 20 40 60 80 100
Time (s)
-3
-2
-1
0
1
2
3
Re
active
Po
we
r G
en
era
tio
n (
kV
ar)
19
16
10
• All units collaborate to get
the voltage within bounds
throughout the radial.
Example: What if – voltage control scenario
19
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
RT-HIL Applications
Coordinated Voltage Control - MV Grids
• RePlan project (www.replan.dk)
• On-line coordination scheme according to loading and loss minimization
• Assess requirements and impact for ICT (packet drops and latency)
• Cyber attacks’ assesment
MV Distribution Customer Premises
Op
erat
ion
Sta
tio
nFi
eld
Pro
cess
WAN
DSO Control Center
Real-Time Digital SimulatorMV Distribution Grid
Aggregated LoadsPV Plants
Wind Power PlantsGrid Meters
LAN
SES Deployment
Network EmulatorTraffic GeneratorCyber Threats
Bulk Generation MW DER
Plant Controllers
Aggregator Control
TSO Control Center
DSO Controller
Aggregator Controller
TSOController
Grid Meters
Labora to ry se tup as a
i nc reas ing need fo r
va l i da t ion wi th ICT in
the l oop
Va l i da t ion o f so f tware and
concep t enab les ex t reme
case assessment in rea l i s t i c
and sa fe env i ronment ,
o the rw ise d i f f i cu l t t o a rch ieve
In te rd i sc ip l ina r i t y i s key to ge t a l l aspec ts in p lay
- ressource i n tens ive bu t p rov ides de ta i led ins igh ts and
exper ience wi th new techno log ies and concep ts
Summary and conclusion
S M A R T E N E R G Y S Y S T E M S L A B O R A T O R Y
A A L B O R G U N I V E R S I T Y
:
http://www.et.aau.dk/department/laboratory-facilities/smart-energy-systems-lab/