Coreso Operational Review 2013 V7 · LA PRAZ SAINT ANDRE GRANDE ILE VENAUS CHAMOSON PRADELLA ROBBIA SILS FILISUR BONADUZ TAVANASA MAPRAGG BICKIGENMETTLEN SOAZZA BULCIAGO CISLAGO GORLAGO

Coreso Operational Review 2013

Coreso Operational

Review

2013

Leading coordination for enhanced reliability of supply

Operational

Leading coordination for enhanced reliability of supply

Pa

ge1


Pa

ge2


Pa

ge3

Coreso Operational Review

2013

Coreso Operational Review 2013 ............................................................................................................................................... 3

Introduction ............................................................................................................................................................................... 4

Coreso main events for 2013 ...................................................................................................................................................... 5

Coreso key figures for 2013 ........................................................................................................................................................ 6

Coreso performance ........................................................................................................................................................................ 6

North Stress level ............................................................................................................................................................................ 7

Stressed situation on the North grid in 2013 .................................................................................................................................. 8

South Stress level ............................................................................................................................................................................ 9

Stressed situations on the South grid in 2013 ............................................................................................................................... 10

Flows & exchanges statistics for 2013 ...................................................................................................................................... 11

Countries Physical Exchanges ....................................................................................................................................................... 11

Main Physical flows on borders..................................................................................................................................................... 13

Belgian Loopflow ........................................................................................................................................................................... 15

Vertical load peak ......................................................................................................................................................................... 15

North D-1 Commercial exchanges ................................................................................................................................................. 16

South D-1 Commercial exchanges ................................................................................................................................................. 16

North Intraday exchanges ............................................................................................................................................................. 17

South Intraday exchanges ............................................................................................................................................................. 19

German Renewable Energy ...................................................................................................................................................... 21


Pa

ge4

Introduction

Participating to the operational exploitation of the European

electricity transmission grid, Coreso accompanies the evolutions of the

electricity domain with the running processes and develop new projects to

fit with these evolutions and enhance the capabilities of the European grid.

The energy transition is a reality in all Europe with renewable energy

infeed being each year more important, changing the energy mix and thus

the power flows across Europe. These evolutions are challenging to all the

stakeholders of the European system operation and Coreso is at the

forefront along with the European Transmission System Operators (TSOs)

to meet this challenge.

To enhance the capabilities of the grid to accept and deliver this new

energy mix day after day, the energy markets are also mutating across

Europe. The flow-based approach to give more flexibility to the CWE Market

coupling has been tested last year and is planned to come in operation this

year. This year also, the D-2 CSE Capacity Calculation will aim to enhance

the power exchanges in the CSE area through an innovative and reliable

approach. Coreso is present to develop, test and implement these

processes, offering expertise and operational support throughout the

project.

This annual overview of Coreso’s activities presents these evolutions

over the past year, some information about Coreso’s processes and

performances as well as data concerning the power exchanges in Europe.

We hope you will find useful information and wish you a good

reading!


Pa

ge5

Coreso main events for 2013

28 May 2013

The different Regional Security Coordination Initiatives (TSC, EKC and Coreso) launch a data quality task force, under

the umbrella of Entso-E. This first project bringing together the different regional initiatives offers the opportunity to

develop further cooperation.

10 June 2013

Twenties closing General Assembly: Coreso participated to this European project, providing expertise on different

topics, including Phase Shifter Transformer (PST) coordination. Twenties is a European project that aims to deal with

the main questions related to the insertion of massive wind power in the European grid.

21 July 2013

Start of the IT Audit to enhance and secure Coreso’s IT structure.

8 October 2013

IDCF process implemented at Coreso. This new process is developed and rolled out by Coreso and TSC (both of them

regional security coordination platforms). In total, 17 TSOs cooperate by providing the necessary input data on an

hourly basis. The intraday studies are now improved owing to the automatic hourly update of the Day Ahead files;

Coreso provides two system studies for the morning and evening peaks as well as on demand.

30 October 2013

First implementation of the new renewable energy forecasts provided by Meteologica in the Coreso supervision tool

(DADS).

1 November 2013

Implementation of the EAS system (ENTSO-E Awareness System) at Coreso is completed. Coreso can now also view

the most important real-time parameters for the complete European electricity system.


Pa

ge6

Coreso key figures for 2013

Coreso performance

MAIN PERFORMANCE FIGURES

Publication of 24 merged timestamps 364/365 days

Number of SMART* performed 35 (2012 = 44)

Number of BALIT variants and Intraday studies 57 (2012 = 136)

Number of other variants performed in day-ahead 77 (2012 = 155)

Number of IDCF Studies (process started 10/2013) 145 (new)

*SMART : System Modification Advice RequesT

In 2013, 24 mergings were performed for all days except one (long clock change day).

In 2013, 24 security analyses were performed for all days except 3:

- 03/02/2013: no Vulcanus file for CSE Area. 7 security analyses performed.

- 10/04/2013: 7 security analyses performed.

- 27/10/2013: long clock change. 11 security analyses performed.


Pa

ge7

North Stress level

Occurences 2010 2011 2012 2013

Red situations 2 4 5 6

Orange situations 15 47 57 44

0

5

10

15

20

25

30

35

26 27 2629 28

2528

2226

23

28 27

51 4

3

53

94

6

22

11 2 2

Monthly North stress level statistics for 2013

No critical constraints on CWE area

Stressed situation or coordination needed

Highly stressed situation & coordination needed

2%

12%

86%

2013 Stress Level on North grid

Highly stressed situation &

coordination needed

Stressed situation or coordination

needed

No critical constraints on CWE

area

The stress level is estimated in D-1 by Coreso

from the analyses of the merged DACF files.


Pa

ge8

526

518

2246

217

974

982

1081

935

Outage

Fault

Overload

Stressed situation on the North grid in 2013

8 April 2013 Context:

IFA limited to 1500 MW.

Maasbracht Van Eyck 28 is in outage (including

Van Ecyk 2 PST).

Tihange 2, North and South in outage.

Day-ahead foreseen situation:

The tap set foreseen during the day-ahead studies

was : Zandvliet on tap 6 and Van Eyck 1 on tap 14.

The day-ahead studies showed constraints for

the loss of the remaining PST of Van Eyck (128%

overload at 19:30 on Zandvliet PST).

Opening the Geertruidenberg – Zandvliet axis as a

preventive remedial action was agreed during day-

ahead process, as well as setting ATC to zero for

France to Belgium.

Redispatching between Tennet NL and Elia was

also helping on this constraint.

Real Time situation:

The PST tap positions were adapted in real-time to: Zandvliet on tap 3 and Van Eyck 1 on tap 11.

With the 19:30 timestamp Snapshot, the overload on Zandvliet PST was 121%.

The preventive remedial action of opening the Geertruidenberg – Zandvliet axis was implemented reducing the overload to

104%.

The following curative remedial actions were required to handle this situation:

• Go to tap 1 in Zandvliet

• Open FR-BE tie-line Doel Avelgem.

Introducing the HVDC Redirection – Redirecting Flow s over Interconnectors (RFIs) project : If the PST at Zandvliet tripped then NL and BE transmission systems would have been separated.

At the time of the overload a HVDC redirection of up to 1500MW would have been possible due to favourable flows on IFA and

BRITNED (post gate closure). If a redirection of 1500MW was carried out then the overload would have reduced from 121% to

73% on Zandvliet PST (105% for 500MW redirection).

The HVDC redirection in this scenario is 48% effective on the overload at Zandvliet and 52% effective on the flows on the NL-BE

border (see flows below).

Real Time situation With 1500 MW of HVDC redirection


Pa

ge9

3%

18%

79%

2013 Stress Level on South grid

Highly stressed situation &

coordination needed

Stressed situation or coordination

needed

No critical constraints on CWE

area

The stress level is estimated in D-1 by Coreso

from the analyses of the merged DACF files.

South Stress level

Occurences 2010 2011* 2012 2013

Red situations - 4 14 11

Orange situations - 39 69 64

*South studies started on july, 1st

2011

0

5

10

15

20

25

30

35

26 25

3129

20 21 21

28

20 1921

29

43

1

9 9 9

1

1010

8

1 2 1 2 2 1 2

Monthly South stress level statistics for 2013

No critical constraints on CWE area

Stressed situation or coordination needed

Highly stressed situation & coordination needed


Pa

ge1

0

LA PRAZ SAINT ANDRE

GRANDE ILE

VENAUS

CHAMOSON

PRADELLA

ROBBIA

SILSFILISUR

BONADUZ

TAVANASA

MAPRAGG

BICKIGENMETTLEN

SOAZZA

BULCIAGO

CISLAGO GORLAGO

PIOSSASCO

LEINI TRINO

TURBIGO

CAGNO

OSPIATE

CREMONA

CAORSO

FLERO

NAVE

PIANCAMUNO

SAN FIORANO

ENTRACQUE

CASANOVA

MAGLIANO

VADO LIGURE

VIGNOLE BORBERA

LA SPEZIA

MARGINONE CALENZANO

POGGIO A CAIANO

TAVARNUZZE

BARGI

COLUNGA

SAN DAMASO

RUBIERA

PARMAVIGHEFFIO

CASTELNUOVO

SANDRINGO

DUGALE

CORDIGNANO

SALGAREDAVENEZIA NORD

CAMIN

PORTO TOLLE

ADRIA SUD

LONATO

OSTIGLIA

FERRARAFOCOMORTO

RAVENNA CANALA

FORLI’ ORAZIANA

FANO

SAN MARTINO IN XX

UDINEOVEST

REDIPUGLIA

DIVACA

WESTTIROL

CREYSMONTAGNY

CORNIER

GENISSIAT

BOIS-TOLLOT

LA COCHE

VILLARODIN

BROC-CARROS

BIANCON

SAN ROCCO

BAGGIO

PIEVE ALBIGNOLA

VERDERIO

LA CASELLA

2

43

5

6

PLANAIS

ACCIAIOLOCANDIA

CHIVASSO

7

ROSENPIAN DELLA SPERANZA

valpelline

riddes

avisevilleneuve

chatillonmontjovet

st .triphon

la bâtiazvallorcine

chavanod

pressy

passymalgovert

romanel

banlieue ouest

foretaille

VERBOIS

cruseilles

ALBERTVILLE

ponte

airolofieschmörel

verampio

gabi

pallanzeno

serra

soverzene

ZILLER

LINZ

TAUERN

OBERSIELACH

KAINACHTAL

BERICEVO

OKROGLO

MARIBOR

klece

padriciano

PODLOG

pehlin

camporosso

menton

trinite-victor

campochiesa

biella est

RONDISSONEmagenta

MUSIGNANO

MERCALLO

villarosone

grugliasco trino v.novarra sud

5

1

2

3

4

6

7

1

2 3

4

MALCONTENTA

SERMIDE

MARTIGNONE

DOLO

savona

erzellibistagno

san colombano

colorno

marcaria

NOGAROLE ROCCA

MANTOVA

scorze

vellai

AVENZA

TAVAZZANO

fadalto

conegliano

oderzo

pordenone

somplago

buia

udine est

lingostierecagnes/mer

mouginsplan de grasse

contamine

allinges

longefanvieux moulin

saussaz

randens

gd cœur

mühleberg

gstaad

botterens

hauterive

chippis

stalden

zermeiggernfionnay

innertkirchen

giswill ittau

göschenen

wimmis

bitsch

magadino

mese

biasca

olivoneLAVORGO

handeck

peccia

avegno

grimsel

galmiz

mathod

BOVISIO1

morigallo

5

6

7

8

9

10

1112

13

14

15

MENDRISIO

Lukmanier

San B

ernardino

hessenberg

weissenbach

400 kV line Maribor-Podlog

400 kV line Pradella – Westirol 1 & 2 alternativaly

400 kV line Turbigo -Rondissone

Stressed situations on the South grid in 2013

1st and 2nd August 2013 : “Stressed

situation on the CSE area”

Context: 3 significant outages on IT border

were planned:

- Turbigo Rondissone 380 kV

- Pradella Westtirol 380kV (alternating)

- Maribor Podlog 380 kV

No NTC reduction is implemented for these

outages.

Day-ahead foreseen situation:

1st and 2nd of August 2013: High flows in N-

State on the Swiss/Italian border. The day-

ahead peak study (13:30 timestamp)

revealed a highly stressed situation and the

N-2 between Swiss and Italy were leading to

high constraint.

The classical coordinated remedial actions (2

nodes operation in Sils and increasing the

flow from Slovenia) are not

sufficient.

A 700MW Pentalateral is foreseen for the 1st

and 1000 MW for the 2nd

.

Intraday situation:

01/08: little intraday exchanges from France to Switzerland (around 200 MW).

02/08: some intraday exchange from Switzerland to France (around 500 MW).

Real-time :

Due to the outages on the Slovenian grid, Eles was not able to increase the target flow and the constraints on the Swiss/Italian

border remain high.

On the 2nd of August, a 500 MW pentalateral is requested from 13:00 to 17:00.

At 15:00, the line Rondissone-Turbigo is back in operation and the pentalateral is thus shorted (13:00 to 16:00).


Pa

ge1

1

0

200

400

600

800

1000

1200

-12500 -10000 -7500 -5000 -2500 0 2500 5000 7500 10000 12500

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of BE import/export position

2011

2012

2013

0

200

400

600

800

1000

1200

1400

1600

1800

-12500 -10000 -7500 -5000 -2500 0 2500 5000 7500 10000 12500

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of NL import/export position

2011

2012

2013

0

50

100

150

200

250

300

350

400

450

-12500 -10000 -7500 -5000 -2500 0 2500 5000 7500 10000 12500

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of FR import/export position

2011

2012

2013

0

500

1000

1500

2000

2500

3000

3500

-12500 -10000 -7500 -5000 -2500 0 2500 5000 7500 10000 12500

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of UK import/export position

2011

2012

2013

0

50

100

150

200

250

300

350

-12500 -10000 -7500 -5000 -2500 0 2500 5000 7500 10000 12500

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of DE import/export position

2011

2012

2013

0

500

1000

1500

2000

2500

-12500 -10000 -7500 -5000 -2500 0 2500 5000 7500 10000 12500

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of PL & UA import/export position

2011

2012

2013

Flows & exchanges statistics for 2013

Countries Physical Exchanges

Exchanges data are extracted from Vulcanus website and UK Exchanges are provided by ENSTSOE.net website.


Pa

ge1

2

0

100

200

300

400

500

600

700

800

900

1000

-12500 -10000 -7500 -5000 -2500 0 2500 5000 7500 10000 12500

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of AT import/export position

2011

2012

2013

0

200

400

600

800

1000

1200

1400

1600

1800

-12500 -10000 -7500 -5000 -2500 0 2500 5000 7500 10000 12500

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of CZ import/export position

2011

2012

2013

0

100

200

300

400

500

600

700

800

-12500 -10000 -7500 -5000 -2500 0 2500 5000 7500 10000 12500

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of IT import/export position

2011

2012

2013

0

100

200

300

400

500

600

700

800

900

1000

-12500 -10000 -7500 -5000 -2500 0 2500 5000 7500 10000 12500

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of CH import/export position

2011

2012

2013

0

500

1000

1500

2000

2500

-12500 -10000 -7500 -5000 -2500 0 2500 5000 7500 10000 12500

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of SI import/export position

2011

2012

2013

Traditional positions are still valid this year, with

France and Germany as “exporting countries”

(along with Czech Republic and Poland) and Italy,

the Netherlands and UK as “importing countries”.

The other countries played both positions.


Pa

ge1

3 Year after year, thanks to massive renewable infeed, Germany is

reinforcing its position of exporting country as the FR/DE position

seems to go in the direction of Germany exporting and NL/DE is

stabilized in the same direction.

Main Physical flows on borders

0

50

100

150

200

250

300

350

400

450

500

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of FR --> BE Physical flows

2011

2012

2013

0

100

200

300

400

500

600

700

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

Ho

urs

Exchange value (MW)

Statistical Distribution of BE --> NL Physical flows

2011

2012

2013

0

50

100

150

200

250

300

350

400

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of FR --> DE Physical flows

2011

2012

2013

0

100

200

300

400

500

600

700

800

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of NL --> DE Physical flows

2011

2012

2013

0

500

1000

1500

2000

2500

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of FR --> UK Physical flows

2011

2012

2013

0

500

1000

1500

2000

2500

3000

3500

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of NL --> UK Physical flows

2012

2013

0

100

200

300

400

500

600

700

800

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of DE --> PL Physical flows

2011

2012

2013

0

100

200

300

400

500

600

700

800

900

1000

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of PL --> CZ Physical flows

2011

2012

2013


Pa

ge1

4

0

100

200

300

400

500

600

700

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of DE --> CZ Physical flows

2011

2012

2013

0

200

400

600

800

1000

1200

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of AT --> CZ Physical flows

2011

2012

2013

0

100

200

300

400

500

600

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of FR --> IT Physical flows

2011

2012

2013

0

100

200

300

400

500

600

700

800

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of CH --> FR Physical flows

2011

2012

2013

0

50

100

150

200

250

300

350

400

450

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of CH --> IT Physical flows

2011

2012

2013

0

1000

2000

3000

4000

5000

6000

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of IT --> AT Physical flows

2011

2012

2013

0

500

1000

1500

2000

2500

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of IT --> SI Physical flows

2011

2012

2013


Pa

ge1

5

0

100

200

300

400

500

600

700

800

-5000 -4000 -3000 -2000 -1000 0 1000 2000 3000 4000 5000

Nu

mb

er

of

ho

urs

Exchange value (MW)

Statistical Distribution of Belgium Loopflows

2011

2012

2013

160000

180000

200000

220000

240000

260000

280000

300000

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

CEE +CSE + CWE Vertical load (MW): 17/01/2013

D-1 Forecast

(MW)

Realised load

(MW)

Timestamps 0

50000

100000

150000

200000

250000

300000

350000

2011 2012 2013

Peak Demand

Peak

Demand

Year after year, BE loopflows

tends to be oriented North

to South, in line with the

development of the German

Renewable Energy.

120

140

160

180

200

220

240

260

280

300

Tho

usa

nd

s

Daily maximal peak demand in MW

Peak Demand

D-1 Forecast

Belgian Loopflow

In 2013, with the PST regulation,

loopflows were within the normal range

[-1200 MW; +1000 MW] 87.9% of the

time (95.5% in 2012 and 93% in 2011).

Definition :

(+) = South to North flows

(-) = North to South flows

Vertical load peak

Vertical load is the sum of all flows out of the transmission grid via directly connected transformers to distribution grids or other consumers.

Aggregation of Belgian, Dutch, French, German, Luxembourg (included in BE and DE), Poland, Czech Republic, Austria, Hungary, Slovakia,

Slovenia, Switzerland and Italy vertical loads.

Vertical load peak of 292

445 MW on the

17/01/2013 at 19:30.

Load peak very stable compared to previous year

value : -0.7%.

Spring Summer Winter Spring


Pa

ge1

6

North D-1 Commercial exchanges

South D-1 Commercial exchanges

1511 14051643

1424

1618 1625 1670 1679

13911327

1516

1217

284

514

329

180

-220

-848

-1003 -968

-498 -491-273

-3

-1225

-489

-975

-1595

-1935

-1467

-1134

-1427

-1316

-716

-448

60

15151657

1886

1059

2

-235

-116

-318

483

1090

1361

1158

468 479626

841

1101941

1447

1254 1221

951 971

566506 472

654

428502

502 665 637

411

576 614 559

3059

40374164

2337

1069

517

1529

858

1693

2738

3742

3557

2013 D-1 Commercial exchanges (GWh)

DE --> NL NL --> BE BE --> FR DE --> FR FR --> GB NL --> UK Absolute sum of the borders

JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC

2024 2012

1650

1333

1563

1421

1967

1152 1150

2080 20511888

1504

15511169

10101157

1298

966 905

1177

1800

1468

1345

1872

1697

2029

1800

1478

1416

16461817

1432

1606 1590

1883

180 204 206 144 129139 196 109 129 190 199 165

370387

394288

226 220313

161254

354 371276

59495851

5448

4577 4553 4494

5088

4144 4142

6030

56785557

2013 D-1 Commercial exchanges (GWh)

CH --> IT FR --> IT FR --> CH AT --> IT SI --> IT Absolute sum of the borders

JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC


Pa

ge1

7

0.0

100.0

200.0

300.0

400.0

500.0

600.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Standard Deviations

Intraday

FR --> BE

FR --> DE

FR --> UK

NL --> UK

BE --> NL

-1200.0

-1000.0

-800.0

-600.0

-400.0

-200.0

0.0

200.0

400.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: NL --> UK

Intraday

Median

Percentile 0.1

Percentile 0.9

Average

-300.0

-200.0

-100.0

0.0

100.0

200.0

300.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: BE --> NL

Intraday

Average

1st Quartile

3rd Quartile

-400.0

-300.0

-200.0

-100.0

0.0

100.0

200.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: FR --> UK

Intraday

Median

Percentile 0.1

Percentile 0.9

Average

-400.0

-300.0

-200.0

-100.0

0.0

100.0

200.0

300.0

400.0

500.0

600.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: FR --> BE

Intraday

Median

Percentile 0.1

Percentile 0.9

Average

-800.0

-600.0

-400.0

-200.0

0.0

200.0

400.0

600.0

800.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: FR --> DE

Intraday

Median

Percentile 0.1

Percentile 0.9

Average

During winter, french/german and

french/belgian borders are very versatile with

high values of max and intraday exchanges

realized with a rather low average value.

North Intraday exchanges

These charts represent the most frequent values of intraday exchanges (in MW). For each timestamp, the intraday volume was

included between the 2 percentile curves, 80% of the days.

January – March 2013 This period correspond to the winter time, when the peak demand in the North area is in the evening.


Pa

ge1

8

-400.0

-300.0

-200.0

-100.0

0.0

100.0

200.0

300.0

400.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: FR --> BE

Intraday

Median

Percentile 0.1

Percentile 0.9

Average

-1500.0

-1000.0

-500.0

0.0

500.0

1000.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: FR --> DE

Intraday

Median

Percentile 0.1

Percentile 0.9

Average

-350.0

-300.0

-250.0

-200.0

-150.0

-100.0

-50.0

0.0

50.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: FR --> UK

Intraday

Median

Percentile 0.1

Percentile 0.9

Average

-1200.0

-1000.0

-800.0

-600.0

-400.0

-200.0

0.0

200.0

400.0

600.0

800.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: NL --> UK

Intraday

Median

Percentile 0.1

Percentile 0.9

Average

0.0

100.0

200.0

300.0

400.0

500.0

600.0

700.0

800.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24


Intraday

FR --> BE

FR --> DE

FR --> UK

NL --> UK

BE --> NL

The highest intraday exchanges

are realized during peak periods

(morning peak, noon peak and

evening peak).

During summer, french/german and

french/belgian borders are mainly

oriented like the Day-ahead exchanges.

April – October 2013

This period corresponds to the summer time, when the peak demand in the north area is at noon.

-150.0

-100.0

-50.0

0.0

50.0

100.0

150.0

200.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: BE --> NL

Intraday

Average

1st Quartile

3rd Quartile

median


Pa

ge1

9

-200

-150

-100

-50

0

50

100

150

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: FR --> IT

Intraday

Median

Percentile 0.1

Percentile 0.9

Average

-250

-200

-150

-100

-50

0

50

100

150

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: CH --> IT

Intraday

Median

Percentile 0.1

Percentile 0.9

Average

-1400

-1200

-1000

-800

-600

-400

-200

0

200

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: SI --> IT

Intraday

Median

Percentile 0.1

Percentile 0.9

Average

0

100

200

300

400

500

600

700

800

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24


Intraday

FR --> CH

FR --> IT

CH --> IT

AT --> IT

SI --> IT

South Intraday exchanges

These charts represent the most frequent values of intraday exchanges (in MW). For each timestamp, the intraday volume was

included between the 2 percentile curves, 80% of the days.

January – March 2013

This period corresponds to the winter time, when the peak demand in the South area is in the evening.

-2000

-1500

-1000

-500

0

500

1000

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: FR --> CH

Intraday

Median

Percentile 0.1

Percentile 0.9

Average


Pa

ge2

0

-2500

-2000

-1500

-1000

-500

0

500

1000

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: FR --> CH

Intraday

Median

Percentile 0.1

Percentile 0.9

Average

-30

-25

-20

-15

-10

-5

0

5

10

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: CH --> IT

Intraday

Median

Percentile 0.1

Percentile 0.9

Average

0

100

200

300

400

500

600

700

800

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24


Intraday

FR --> CH

FR --> IT

CH --> IT

AT --> IT

SI --> IT

-6

-4

-2

0

2

4

6

8

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: FR --> IT

Intraday

Median

Percentile 0.1

Percentile 0.9

Average

-2000

-1500

-1000

-500

0

500

1000

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hourly Statistics: SI --> IT

Intraday

Median

Percentile 0.1

Percentile 0.9

Average

These charts are highlighting the fact

that the only significant intraday market

are FR <-> CH and SL <-> IT.

April – October 2013 This period correspond to the summer time, when the peak demand in the south area is at noon.


Pa

ge2

1 As the wind infeed is mainly located on the

distribution network, we see the impact of the

morning and evening peaks on the wind infeed seen

from the transmission network.

German Renewable Energy

Data are coming from EEX website. Only Germany renewable energy is described in the report.

MAIN WINDPOWER 2013 FIGURES

2012 (GW) 2013 (GW)

Maximum generated 24,1 26,3

Average generated 5,2 5,4

3rd

quartile (75% data amont < X) 7,1 7,4

Maximum deviation in 15 minutes 2,4 1,7

MAIN SOLARPOWER 2013 FIGURES

2012 (GW) 2013 (GW)

Maximum solarpower generated 22,4 24

Average solarpower generated 3,1 3,4

3rd

quartile (75% data amont < X) 5 5

Maximum deviation in 15 minutes 1,9 2,4

2000

3000

4000

5000

6000

7000

8000

00:30 03:30 06:30 09:30 12:30 15:30 18:30 21:30

Po

we

r (M

W)

Hours

Wind Power Seasonal Statistics - 2013

Winter

Spring

Summer

Autumn

Yearly

Average

0

2000

4000

6000

8000

10000

12000

14000

16000

18000

00:30 03:30 06:30 09:30 12:30 15:30 18:30 21:30

Po

we

r (M

W)

Hours

Solar Power Hourly Statistics - 2013

Winter

Spring

Summer

Autumn

Yearly

Average


Note: This graph doesn’t take into account the night infeed of solar (0MW).

0

200

400

600

800

1000

1200

1400

1600

0 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000 22000 24000

Nu

mb

er

of

qu

art

er'

s h

ou

rs

Wind Statistical Distribution - 2013

0

100

200

300

400

500

600

700

800

900

0 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000 22000

Nu

mb

er

of

qu

art

er'

s h

ou

rs

Solar Statistical Distribution - 2013

0

5000

10000

15000

20000

25000

30000

Po

we

r (M

W)

Wind Power Monthly Statistics - 2013

0

5000

10000

15000

20000

25000

30000

Po

we

r (M

W)

Solar Power Monthly Statistics - 2013

This graph doesn’t take into account the night infeed of solar (0MW).

24000 26000

Exchange value (MW)

2013

Forecast

Real Time

22000

Exchange value (MW)

2013

Forecast

Real Time

Month

2013

FO Max

RT Max

FO Average

RT Average

Month

2013

FO Max

RT Max

FO Average

RT Average

Pa

ge2

2

Documents

Coreso Operational Review 2013 V7 · LA PRAZ SAINT ANDRE GRANDE ILE VENAUS CHAMOSON PRADELLA ROBBIA SILS FILISUR BONADUZ TAVANASA MAPRAGG BICKIGENMETTLEN SOAZZA BULCIAGO CISLAGO GORLAGO