EMR’17
University Lille 1
June 2017
Summer School EMR’17
“Energetic Macroscopic Representation”
«Study of a hybrid railway power
substation by using EMR»
Nanfang Yang1, Tony Letrouvé1
Cristian Jéçu2, Loïc Joseph-Auguste2, Julien Pouget1, Benoit Puluhen2
1. SNCF I&R, France
2. EDF R&D, France
EMR’17, University Lille 1, June 20172
« Study of a hybrid railway power substation by using EMR »
- Outline -
1. Context of railway power supply
• Railway power supply system
• Hybrid railway electric substation
2. EMR and IBC of a hybrid railway power substation
• Representation of the system
• Wind power system
• Battery system
• Catenary and DC bus
• Control strategies
3. Results
• Sizing results
• Simulation results
4. Conclusions and perspectives
(Adapted from [Yang 2017],
and it fits into the partnership project SNCF I&R – EDF R&D)
EMR’17
University Lille 1
June 2017
Summer School EMR’17
“Energetic Macroscopic Representation”
« Context of railway power supply »
EMR’17, University Lille 1, June 20174
« Study of a hybrid railway power substation by using EMR »
- Railway power supply system -
Pgrid
Ptrain
Catenary 25KV AC
Neutral sectionPgrid
Transmission grid
225kV three-phase AC
AC power substation
R
S
T
Pgrid
Ptrain
Catenary 1.5KV DC
Transmission grid
63kV three-phase AC
DC power substation
R
S
T
3~
=Pgrid
3~
=
EMR’17, University Lille 1, June 20175
« Study of a hybrid railway power substation by using EMR »
- Hybrid railway power substation -
Pgrid
PtrainAC Catenary
Hybrid railway
power substation
Grid
Wind power
DC busPwind
Psto
Hybrid part
Plocal
BAT Battery
3~
=
=
=
=
~
Pgrid
PtrainDC Catenary
Hybrid railway
power substation
Grid
Wind power
DC busPwind
Psto
Hybrid part
Plocal
BAT Battery
3~
=
=
=
3~
=
Benefits:
Integrate renewable energy resources;
Reduce the electricity bill, and the dependence to electricity market;
Supply ancillary services such as demand response, voltage support.
Facility the breaking energy recovery (DC);
Problem:
Increase the frequency of several high-speed trains
Some substations approach the power limit
Voltage drop along the catenary (DC) is important
Solutions:
Construction of new substations;
Reinforce the power supply;
Hybridization.
EMR’17
University Lille 1
June 2017
Summer School EMR’17
“Energetic Macroscopic Representation”
« EMR and IBC of a hybrid railway
power substation »
EMR’17, University Lille 1, June 20177
« Study of a hybrid railway power substation by using EMR »
- Representation of the system -
Pgrid
PtrainAC Catenary
Hybrid railway
power substation
Grid
Wind power
DC busPwind
Psto
Hybrid part
Plocal
Bat Battery
3~
=
=
=
=
~
AC type hybrid railway power substation
Multi-sources system:
Battery system;
Wind power system;
Electric grid.
iwind
Vdc
iarm
Varm
mwind
Varm-ref
Vdc
Vdc-ref
Bat.
Vbat
ibat
ibat
Vchop
Vdc
isto
mbat
isto-ref
ibat-refVchop-ref
LT+ST strategies
EMS
isto-ref
iarmTgbTshaftΩturbineFturbine
Wind
MPPT
Tshaft-ref Tgb-ref iarm-ref
earmΩgbΩturbineTturbineVwind
Vcat
icat
icat
ilocal
idc
Vdc
Grid
Train
igrid
itrain
Vcat
Vcat
idc-ref
mbus
Vconv
icat-ref
nwind nbat
Vconv-ref
Vdc
Vdc
EMR’17, University Lille 1, June 20178
« Study of a hybrid railway power substation by using EMR »
- Wind power system -
Pgrid
PtrainAC Catenary
Hybrid railway
power substation
Grid
Wind power
DC busPwind
Psto
Hybrid part
Plocal
Bat Battery
3~
=
=
=
=
~
turbineT
turbine
gbT
gb
dcV
windi
Wind turbine Transmission Generator Three-phase rectifier
windV
armi
nwind
iwind
Vdc
iarm
Varm
mwind
Varm-ref
Vdc
Vdc-ref
Bat.
Vbat
ibat
ibat
Vchop
Vdc
isto
mbat
isto-ref
ibat-refVchop-ref
LT+ST strategies
EMS
isto-ref
iarmTgbTshaftΩturbineFturbine
Wind
MPPT
Tshaft-ref Tgb-ref iarm-ref
earmΩgbΩturbineTturbineVwind
Vcat
icat
icat
ilocal
idc
Vdc
Grid
Train
igrid
itrain
Vcat
Vcat
idc-ref
mbus
Vconv
icat-ref
nwind nbat
Vconv-ref
Vdc
Vdc
EMR’17, University Lille 1, June 20179
« Study of a hybrid railway power substation by using EMR »
- Battery system -
Pgrid
PtrainAC Catenary
Hybrid railway
power substation
Grid
Wind power
DC busPwind
Psto
Hybrid part
Plocal
Bat Battery
3~
=
=
=
=
~ Vdc
Vbat
ibat
istock
Vchop
Rbat Lbat
iwind
Vdc
iarm
Varm
mwind
Varm-ref
Vdc
Vdc-ref
Bat.
Vbat
ibat
ibat
Vchop
Vdc
isto
mbat
isto-ref
ibat-refVchop-ref
LT+ST strategies
EMS
isto-ref
iarmTgbTshaftΩturbineFturbine
Wind
MPPT
Tshaft-ref Tgb-ref iarm-ref
earmΩgbΩturbineTturbineVwind
Vcat
icat
icat
ilocal
idc
Vdc
Grid
Train
igrid
itrain
Vcat
Vcat
idc-ref
mbus
Vconv
icat-ref
nwind nbat
Vconv-ref
Vdc
Vdc
EMR’17, University Lille 1, June 201710
« Study of a hybrid railway power substation by using EMR »
- Catenary and the DC bus -
Pgrid
PtrainAC Catenary
Hybrid railway
power substation
Grid
Wind power
DC busPwind
Psto
Hybrid part
Plocal
Bat Battery
3~
=
=
=
=
~
istoVdc
Lconv
iwind
ilocalidc
itrain VconvVtrans
icat
Cdc
Rtra
ns
igrid
Vcat
iwind
Vdc
iarm
Varm
mwind
Varm-ref
Vdc
Vdc-ref
Bat.
Vbat
ibat
ibat
Vchop
Vdc
isto
mbat
isto-ref
ibat-refVchop-ref
LT+ST strategies
EMS
isto-ref
iarmTgbTshaftΩturbineFturbine
Wind
MPPT
Tshaft-ref Tgb-ref iarm-ref
earmΩgbΩturbineTturbineVwind
Vcat
icat
icat
ilocal
idc
Vdc
Grid
Train
igrid
itrain
Vcat
Vcat
idc-ref
mbus
Vconv
icat-ref
nwind nbat
Vconv-ref
Vdc
Vdc
EMR’17, University Lille 1, June 201711
« Study of a hybrid railway power substation by using EMR »
- Strategies -
Long-term strategy (linear programming)
Minimize the electricity bill, considering
Electricity price in the wholesale market
Forecast of wind power
Short-term strategy (Fuzzy logic)
Limit the overtaking power,
Take full advantage of the local production,
Guarantee life-span of the battery,
SoC of the battery
Real-time forecast of wind power
Fuzzy logic
based
short-term
energy
management
SoCbat
isto-ref+
-
Pgrid
Psubscribed
ΔPexcess
+-
Ptrain
Pwind
ΔPlocal
Long-term
Optimisation
Psto-ref-LT
Ptrain-predictive
Pwind-forecast
CostElectricity
k5
k1
k2
k3
k4
LT+ST strategies
Vdc-ref
EMR’17
University Lille 1
June 2017
Summer School EMR’17
“Energetic Macroscopic Representation”
« Results »
EMR’17, University Lille 1, June 201713
« Study of a hybrid railway power substation by using EMR »
Sizing results
Railway power substation
Subscribed power: 80MW
Hybrid railway power substation
Subscribed power: 40MW
Wind power: 11 × 1.67MW
Battery: 3 × 66kW/100kWh
CONIFER: Project of SNCF, which develops an optimal program to size hybrid railway power station.
SARRY: on LGV (high-speed line LN1)
SARRY
EMR’17, University Lille 1, June 201714
« Study of a hybrid railway power substation by using EMR »
Simulation results
Simulation results of one
typical day
The wind power is
100% used
The SoC is limited no
less than 30% to obtain
a better life-span
EMR’17, University Lille 1, June 201715
« Study of a hybrid railway power substation by using EMR »
Results
Reduction on electricity bill:
4.09 k€ / day
~ 9%
Reduction in grid cost
1,08 k€ / day
~ 32%
Due to a lower optimised
subscribed power
EMR’17
University Lille 1
June 2017
Summer School EMR’17
“Energetic Macroscopic Representation”
« Conclusions and perspectives »
EMR’17, University Lille 1, June 201717
« Study of a hybrid railway power substation by using EMR »
Conclusions and perspectives
The work has been finished:• Sizing of the hybrid railway power substation
• Modelling, representation and simulation of hybrid railway power substation
The work for the near future:• Hardware-in-the-loop tests to verify the effectiveness of the proposed method
• Experimental tests at EDF Concept Grid
EMR’17, University Lille 1, June 201718
« Study of a hybrid railway power substation by using EMR »
Hardware-in-the-Loop test in the laboratory
Power interface
Pgrid
PtrainAC Catenary
Grid
Wind power
DC busPwind
Psto
Hybrid part
Plocal
3~
=
=
=
=
~
LT+ST strategies
Real-time simulator
OPAL-RT
Real-time controller
Battery
EMR’17, University Lille 1, June 201719
« Study of a hybrid railway power substation by using EMR »
Experimental tests at EDF Concept Grid
BMS
Pgrid
PtrainAC Catenary
Grid
Wind power
Pwind
Psto
Hybrid part
Plocal
3~
~
=
~
LT+ST strategies
Real-time simulator
OPAL-RT
Real-time controller
Battery system
Power interface
Measurements
EMR’17
University Lille 1
June 2017
Summer School EMR’17
“Energetic Macroscopic Representation”
« Biographies and References »
EMR’17, University Lille 1, June 201721
« Study of a hybrid railway power substation by using EMR »
- Main authors -
Dr. Tony LETROUVE
I&R SNCF, France
PhD in Electrical Engineering at Univ. of Lille 1 (2013)
Research topics: HEVs and EVs, EMR, HIL simulation, electric railway system
Dr. Nanfang YANG
I&R SNCF, France
PhD in Electrical Engineering at Univ. of Technology of Belfrot-Montbéliard (2016)
Research topics: Microgrid, HIL simulation, hybrid railway power substation
EMR’17, University Lille 1, June 201722
« Study of a hybrid railway power substation by using EMR »
- References -
[Bouscayrol 00] A. Bouscayrol, B. Davat, B. d. Fornel, B. François, J. P. Hautier, F. Meibody-Tabar and M.
Pietrzak-David, “Multimachine Multiconverter System: application for electromechanical drives,”
European Physics Journal - Applied Physics, vol. 10, no. 2, pp. 131-147, May 2000.
[Bouscayrol 09] A. Bouscayrol, X. Guillaud, P. Delarue and B. Lemaire-Semail, “Energetic macroscopicrepresentation and inversion-based control illustrated on a wind-energy-conversion system usinghardware-in-the-loop simulation,” IEEE Trans. on Industrial Electronics, vol. 56, no. 12, pp. 4826-4835, 2009.
[Ratniyomchai 14] T. Ratniyomchai, S. Hillmansen and P. Tricoli, “Recent developments and applications ofenergy storage devices in electrified railways,” IET Electrical Systems in Transportation, vol. 4, no. 1,pp. 9-20, 2014.
[Letrouve 15] T. Letrouve, J. Pouget and F. Chauvet, “Hardware-In-the-Loop Simulation: Hybrid LocomotiveEnergy Storage System Behavior Tests,” in IEEE-VPPC, Montreal, QC, Canada, 19-22 Oct. 2015.
[Pankovits 13] P. Pankovits, M. Ployard, J. Pouget, S. Brisset, D. Abbes, B. Robyns and E. Centrale, “Designand Operation Optimization of a Hybrid Railway Power Substation,” in EPE, Lille, France, 2-6 Sept.2013.
[Pankovits 15] S. Nasr, M. Iordache and M. Petit, “Smart micro-grid integration in DC railway systems,” inIEEE PES ISGT-Europe, Istanbul, Turkey, 12-15 Oct. 2015.
[Yang 2017] N. Yang, T. Letrouve, C. Jecu, L. Joseph-Auguste, J. Pouget, and B. Puluhen, “Study of hybridrailway power substation to reduce electricity bill”, Electrimacs, Toulous, 4-6 July, 2017.
EMR’17, University Lille 1, June 201723
« Study of a hybrid railway power substation by using EMR »
« Thanks for your attention! »