DIGITAL TWIN AF THY-MORS ENERGIS ELNET · • Virtual Measurement Systems and Data Collection...

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



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



Overview of archictecture



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



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



Case: Thy-Mors Energi – substation 3011



Projects around that substation



Case: Thy-Mors Energi – substation 3011



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)



➢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



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



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



Configuration and mapping of laboratory



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


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


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




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


DER-HE RTU-HE

Data AggregatorSupervisory Control

VMS-INVVMS-EM

VHEDER

VHERTU

DSO-DB

Example: What if – voltage control scenario



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…


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.


19



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



:

http://www.et.aau.dk/department/laboratory-facilities/smart-energy-systems-lab/

http://www.et.aau.dk/department/laboratory-facilities/smart-energy-systems-lab/

DIGITAL TWIN AF THY-MORS ENERGIS ELNET · • Virtual Measurement Systems and Data Collection...

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Transcript of DIGITAL TWIN AF THY-MORS ENERGIS ELNET · • Virtual Measurement Systems and Data Collection...