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Coreso Operational Review 2013
Coreso Operational
Review
2013
Leading coordination for enhanced reliability of supply
Operational
Leading coordination for enhanced reliability of supply
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Coreso Operational Review 2013
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Coreso Operational Review 2013
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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
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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!
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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.
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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.
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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.
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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
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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
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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).
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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.
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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.
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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
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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
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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
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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
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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.
Coreso Operational Review 2013
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
Hourly Standard Deviations
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
Coreso Operational Review 2013
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
Hourly Standard Deviations
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
Coreso Operational Review 2013
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
Hourly Standard Deviations
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.
Coreso Operational Review 2013
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
Coreso Operational Review 2013
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