challenges pour les réseaux électriques du futur
TRANSCRIPT
SwissGrid workshop - le réseau électrique de demain | Paolone| 21.05.2015 1
Challenges pour les réseaux électriques du futur
Prof. Mario PaoloneLaboratoire des Systèmes Electriques Distribués
École Polutechnique Fédérale de Lausanne
Workshop: le réseau électrique de demainSwissTech Convention CenterLe 21 mai, 2015
SwissGrid workshop - le réseau électrique de demain | Paolone| 21.05.2015 2
The current Swiss scenario
Yearly Profile of electricity consumption in Switzerland
Source: SwissGrid report “Grid Data 2014”
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The current Swiss scenario
Net 2013 electricity production in Switzerland
Source: OFEN report “Schweizerische Statistik der erneuerbaren Energien”, 2013
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Perspective scenario(s)
Swiss 2020 – 2050 perspectives
Source: OFEN report “Perspectives énérgetiques 2050 - Résumé”, octobre 2013
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Perspective scenario(s)
Swiss 2020 – 2050 perspectives (GWh/yr)C: centralised fossil power plantsC&E: renewables and centralised fossil power plantsE: only renewables with further compensations from imports
Source: OFEN report “Perspectives énérgetiques 2050 - Résumé”,
octobre 2013
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Time-scales of renewables volatility: intra-seasons
0
10.000
20.000
30.000
40.000
50.000
60.000
70.000
1 501 1001 1501 2001 2501 3001 3501 4001
EE D
Installiert EE D
max. RES*-infeed: 29.196MWWind: 14.745MWPV: 14.451MWapprox. 48% (09.06.2012)
min. RES*-infeed: 356MW Wind: 356MWPV: 0MWapprox. 0,6% (25.01.2012)
h RES*-production
MW
RES*-infeed
Installed RES*-capacity
*RES: Wind+PV
Seasonal volatility Jan 1st – Jun 30th 2012 (Wind+PV)Installed capacity vs real infeed: the case of Germany
Source: G. Vanzetta
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Time-scales of renewables volatility: days/hours
North European Offshore wind power variability in 2030Wind power production aggregated at synchronous area level for offshore wind power in 2030 comparing the production for the High Wind Shut Down vs High Wind Extended Production.
Adapted from: http://www.youtube.com/watch?v=TCfAcIz63sc
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Time-scales of renewables volatility: days/hours
Solar eclipse of March 20, 2015
Feed-in from photovoltaic plants in the continentalEuropean interconnected gridSource: SwissGrid report “Grid Data 2014”
Solar-eclipse effects on the 20 kV “EL”feeder of the EPFL
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Time-scales of renewables volatility: seconds
Short-term volatility (PV)Example of daily measured power injected by solar arrays at EPFL
Solarirradiance
65%
2 s
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The effects of renewables on the MV grid
Changes in distribution networks load behavior (data obtained using the EPFL PMU-basedRT state estimator of the EL 20 kV feeder – see http://smartgrid.epfl.ch)
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The effects of renewables on the LV grid
CIGRETF C6.04.02LV μg benchmark
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The effects of renewables on the transmission grid
Impact on the daily load curve: the case of Italy
Sun. June 27, 2010
Sun. June 26, 2011
Sun. June 24, 2012
Source: Terna S.p.A.
Remark#1: possibility to have phases along the day with large reduction of the net power flow on the transmission network.
SwissGrid workshop - le réseau électrique de demain | Paolone| 21.05.2015 15
The effects of renewables on the transmission grid
Impact on the daily load curve: the case of Italy
Sun. June 27, 2010
Sun. June 26, 2011
Sun. June 24, 2012
Source: Terna S.p.A.
Remark#2: need of faster ramping in the evening hours
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Technologies/methodologies for the future power grid
Problem Required methods Required technology(ies)
Protection / fault location § Real-time knowledge of the system state
§ Real-time actuation(droop-based, suboptimal)
§ (explicit, optimal)
§ Phasor Measurement Units§ Real-time state estimators§ Distributed storage§ Demand-side response
RERs short-term volatility
Voltage control and line congestion mgmt in distribution systems
Resources aggregation § Robust optimization§ Adaptive droop ctrl§ Abstract control methods§ Real-time estimation of
system flexibility
§ Agent-based software§ Flexible exploitation of
transmission systemAncillary services
Intra-season storage § Robust optimization§ RER planning§ Network planning
§ Power-to-gas storage§ More hydro / different
market model
time
(Not exhaustive list)
ms
mon
ths
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Technologies/methodologies for the future power grid
The EPFL Smart Grid campus (http://smartgrid.epfl.ch) within the SCCER-FURIES context
§ Feasible RT monitoring of an active distribution feeder using PMU technology§ Integration of MW-scale Li-Ti storage for the RT compensation of PVs
SwissGrid workshop - le réseau électrique de demain | Paolone| 21.05.2015 18
Technologies/methodologies for the future power grid
Problem Required methods Required technology(ies)
Protection / fault location § Real-time knowledge of the system state
§ Real-time actuation(droop-based, suboptimal)
§ (explicit, optimal)
§ Phasor Measurement Units§ Real-time state estimators§ Distributed storage§ Demand-side response
RERs short-term volatility
Voltage control and line congestion mgmt in distribution systems
Resources aggregation § Robust optimization§ Adaptive droop ctrl§ Abstract control methods§ Real-time estimation of
system flexibility
§ Agent-based software§ Flexible exploitation of
transmission systemAncillary services
Intra-season storage § Robust optimization§ RER planning§ Network planning
§ Power-to-gas storage§ More hydro / different
market model
time
(Not exhaustive list)
ms
mon
ths
SwissGrid workshop - le réseau électrique de demain | Paolone| 21.05.2015 19
Technologies/methodologies for the future power grid
§ Typically done with droop controls ( f and V )
§ Problems: § system does not know the state of resources (e.g., state-of-charge of a
battery, temperature of a building)
§ all problems made global
§ Alternative: optimal explicit control of power setpoints
§ mathematically complex
§ radical change in grid operation
Real-time control of local grids
SwissGrid workshop - le réseau électrique de demain | Paolone| 21.05.2015 20
Technologies/methodologies for the future power grid
Droopcontrol
Commelec
The Composable Framework for Real-Time Control of Active Distribution Networks with Explicit Power Setpoints – COMMELEC
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Technologies/methodologies for the future power grid
The Composable Framework for Real-Time Control of Active Distribution Networks with Explicit Power Setpoints – COMMELEC
Reduced Curtailment of Renewables
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Technologies/methodologies for the future power grid
B
UL1
UL2
Roof PV2
SC
UL3
FC
Faç.PV1
HP
CL
25 kW25 kWh
15 kVA
23 kVA
30 kWp
75 kW2 kWh
25 kVA
15 kW
10 kWp
10 kW
27 kVA 12.5 kVA
630kVA
EPFL's 20kV grid
D
FD
41
05
mF
D1
70
mF
D2
35
mF
D3
70
mF
D5
35
m
20 kV
0.4 kV
630 kVA
EL6 kW
FD6105m
SC630m
SC530m
SC430m
SC330m
SC230m
SC
13
0m
3 x 70 mm23G 10 mm2
3 x 35 mm23G 6 mm2
3 x 16 mm23G 2.5 mm2
3 x 6 mm23G 1 mm2
3 x 25 mm23G 4 mm2
SC2, SC6
FD4, FD5, FD6, SC1, SC3
SC5
FD3
FD1, FD2, SC4
CABLES
PMU locationsLC locations
4V
4I 4I
4I
CONNECTIONPOINT
The EPFL Smart Grid campus (http://smartgrid.epfl.ch) within the SCCER-FURIES context
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Conclusions
The massive integration of non-hydro renewables is and will drive major changes in modern power systems infrastructures.Main fundamental and applied research topics involves:§ processes aimed at realizing seamless monitoring
control and aggregation of large amount of highly-volatile and distributed energy RERs;
§ real-time quantification of the contribution to ancillary services of DNs and TNs flexibilities
§ changes in the power grids regional/country planning tools accounting for massive integration of RERs.
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Conclusions
SCCER FURIES innovation roadmaphttp://sccer-furies.epfl.ch