EMR’19 Summer School EMR’19 Universitè de Lille “Energetic Macroscopic Representation” June 2019 « EMR of new generation subway Line 1 – Lille Metro » Alek RIOS CAMPO 1 3, Alain BOUSCAYROL 1 2, Philippe DELARUE 1 2, Charles BROCART 3 1 L2EP, Universite de Lille, France, 2 MEGEVH network, France, 3 Metropole Européenne de Lille, France « EMR of a new generation subway » Outline 2 EMR’19, Lille, June 2019 1- Contexte • Metro reinforcement project • Sustainable transport ambitions of MEL • Internship mission 2- Modeling • Model • Representation • Control system • Simulation 3- Conclusion EMR’19 Summer School EMR’19 Universitè de Lille “Energetic Macroscopic Representation” June 2019 « Context » « EMR of a new generation subway » Metro reinforcement Project 4 EMR’19, Lille, June 2019 Urban mobility plan 2010-2020 56% ► 35% 32% ► 35% ▪ Traffic in line 1 and line 2 is rising constantly 5% increase of passengers per year between 2006-2009 2% ► 10% ▪ Any important modification to the autopilot system haven't been made in 30 years 9% ► 20% Increase the capacity of metro grid Line 1 Renovation ▪ Doubling the capacity of line 1 trains ▪ Trains ▪ Smoke ventilation system ▪ Autopilot ▪ Metro stations renovation ▪ Power Grid ▪ Transfer VAL208 from line 1 to line 2 ▪ Control and supervision system « EMR of a new generation subway » Sustainable transport ambition of MEL 5 EMR’19, Lille, June 2019 Reduce fossil fuel consumption and environmental impact Increase public transportations capacity to respond to user increase and anticipate the saturation Encourage citizens to favor eco- friendly transports Improve energy management by integrating new technologies High investment cost. Simulation is the key to chose the right technological solution « EMR of a new generation subway » Internship mission 6 EMR’19, Lille, June 2019 1. Make a digital model of the new metro train (Alstom) able to recreate the energetic behavior in operation. 2. Estimate breaking energy recovery of one train. 3. Simulate the metro TPS in order to survey the energy transfers between the trains and the electric rails. DC AC CUMIN EMR’19 Summer School EMR’19 Universitè de Lille “Energetic Macroscopic Representation” June 2019 « Modelling » « EMR of a new generation subway » Train components and hypothesis 8 EMR’19, Lille, June 2019 CVS-1 CVS-2 Motor Brake Differential Converters Compressor Wheel Metro train model Hypothesis • 3 Motorized car and 1 trailer • The filters and axle inertia aren't modeled • 6 Asynchronous motors • Static model of the inverter and the motor • 1 Brake per shaft • Same passengers load all along the train • 2 Static converters « EMR of a new generation subway » EMR of motorized car 9 EMR’19, Lille, June 2019 2 2 2 2 MAS MAS 퐶표푛푣. +푀퐴푆 « EMR of a new generation subway » EMR of motorized car 10 EMR’19, Lille, June 2019 Rail 2 2 2 2 Rail + filtre MAS MAS Rail - « EMR of a new generation subway » 11 EMR of trailer – Breaking system 11 EMR’19, Lille, June 2019 Rail 2 2 3 2 2 2 Aux 2 Brake 1 CVS 1 DC Auxiliary Power System Brake 2 Brake 3 Compressor 1 CVS 1 AC Brake 4 RAIL CVS 2 AC Compressor 2 Brake 5 Brake 6 Auxiliary CVS 2 DC Brake 7 Power System Brake 8 « EMR of a new generation subway » EMR of the train 12 EMR’19, Lille, June 2019 MC1 T M MC2 « EMR of a new generation subway » EMR of the train 13 EMR’19, Lille, June 2019 CVS- CVS- 1 2 MC1 T M MC2 « EMR of a new generation subway » Maximal control structure of the train 14 EMR’19, Lille, June 2019 Reference torque motor Speed u u u u T T F F F F F rail bus bus bus TMAS Tred arb roue roue bog veh mot tot Vveh irail iMot ibog iMAS ΩMAS Ωred Ω roue Ωroue Vveh Vveh Vveh Vveh Vveh Fres u u U P P P bus bus com Pcom com mot Pbog br Braking force ሶ ሶ ሶ ሶ ሶ (motorized cars) iconv iconv ac Icom 푉푐표푚 푉푝푛 푉푚표푡 푉푏푔 푉푏푔 C C F ubus udc uaux Pre bk roue Froue Fbog re ሶ Ω Ω V iconv dc idc iaux 푉푏푔 Mot roue Vveh Vveh veh Braking force (trailer) « EMR of a new generation subway » Maximal control structure of the train 15 EMR’19, Lille, June 2019 Strategy • Maximal operating torque of the Reference speed motors • Maximal speed • Maximal acceleration • Maximal jerk « EMR of a new generation subway » Maximal control structure of the train 16 EMR’19, Lille, June 2019 Strategy • Maximal operating torque of the motors • Maximal speed • Maximal acceleration • Maximal jerk « EMR of a new generation subway » Simulation 17 EMR’19, Lille, June 2019 EMR’19 Summer School EMR’19 Universitè de Lille “Energetic Macroscopic Representation” June 2019 « Conclusion » « EMR of a new generation subway » Conclusion 19 EMR’19, Lille, June 2019 Recap • Metro reinforcement project • The impact of the project and the influence of simulations in financial decisions • New generation subway structure • Simulation using EMR EMR relevance • Useful for identify energetic properties • Make easier the control system conception • Compatible with graphical programming environment as MATLAB Simulink. « EMR of a new generation subway » 20 EMR’19, Lille, June 2019 Thank for your attention Questions.