ATS Energy Saver. Denis Mulard 20/02/2018

Transcription

1 ATS Energy Saver Denis Mulard 20/02/2018

2 Minimizing regenerative energy losses Avoiding instantaneous energy peaks No hardware required With regenerative energy Useless if there is energy storage hardware such as battery, ultra capacitors, flywheel or reversible substation(such as Alstom Hesop ) Better result in driverless (dwell time precision) - 20/03/2018 P 2

3 Principles Case Studies Lessons learned - 20/03/2018 P 3

4 departures Train 1 Train 2 Energy consumption / Energy Loss - 20/03/2018 P 4

5 departures Train 1 Train 2 Energy consumption / Avoiding Energy loss => Energy Gain - 20/03/2018 P 5

6 Policy on possible modifications QOS Tolerance: (1) Terminal departure (1) On headway (HTOpt 2 modes/ in %) 2 patented(2) algorithms All dwell (2) On Commercial Speed (3) All interstation speed profile Mode Off line On Line Optimization Maximum Fair Timetable Optimizer Response Timetable time Slow Fast Timetable (Initial + Optimized) (Initial) What for To build a new reusable Adapting current Expected active timetable energy gain timetable (offer modification: Max adding Energy or peak deleting trips) Time window Energy data The full day Topology According constraint to modification (1) Interstation Profile (1) Terminal capacities (2) Distribution Matrix (power losses) (2) Loop back maneuver time (3) Peak max (3) ATC Minimum headway /platform - 20/03/2018 P 6

7 Timetable (Initial + Optimized) Run Time ATS Regulation Dwell Controls Train Speed Controls Train Movements ATS regulation has an QOS headway ToleranceHTReg (configuration) HTReg > HTOpt (used in optimization of Timetable) ExampleHTReg = 30%, HTOpt = 15% - 20/03/2018 P 7 ACTUAL Headway <= HTOpt => Follow Optimized Timetable ACTUAL Headway > HTOpt => Follow Initial Timetable with standard ATS headway regulation objective (ie Quality of Service prevails on Energy Saving)

8 Principles Case Studies Lessons learned - 20/03/2018 P 8

9 Study 1 Regenerative energy available on the full line (matrix 100%) - 20/03/2018 P 9

10 -1E+05-2E+05 0E+00 1E+05 2E Off Peak Hours savings Initial vs Optimized 0E+00 2E+05 4E+05 6E+05 3E+05 4E+05 Energy Peak Smoothing 8E+05 1E+06 3,8% Energy Saving over 20 hours operation Maximum Energy peak down by 23% - 20/03/2018 P 10

11 Study 2: Regenerative energy is limited to close trains (in same power station area) X X - 20/03/2018 P 11

12 Day 1 Timetable Energy Optimization Initial consumption: 31.7 MWh Optimized consumption: 28.8MWh (8.9% savings) Energy (kw.h) Initial Optimized 300 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 0:00 0:30 Dwell times modified within: -3s..+3s Maximum change in commercial speed: -20s..+20s Maximum headway modification: -20%..+20% - 20/03/2018 P 12

13 Day 2 Timetable Energy Optimization Initial consumption: 36.4 MWh Optimized consumption: 34.5 MWh (5.1% savings) Energy (kw.h) Initial Optimized 300 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 0:00 0:30 Dwell times modified within: -3s..+3s Maximum change in commercial speed: -15s..+15s Maximum headway modification: -25%..+25% - 20/03/2018 P 13

14 Principles Case Studies Lessons learned - 20/03/2018 P 14

15 When Regenerative energy available on the full line (matrix 100%) o Peak : Few energy losses. Balance is reached thank to the number of trains => small gain. o Off Peak: More energy losses => some gain are possible When Regenerative energy limited to close trains (in same power station area) o Peak Hour: Gain in peak hours by synchronization of trains in same area. o Off peak: there are not enough train candidates in same area => small gain. Power network model is key - 20/03/2018 P 15

16 Reinforcing confidence in results By using RSS : o Alstom Railway System Simulator o Currently under development o Include Power flow simulation Nominal mode without perturbation Perturbations impact Adjusting run time regulation using optimized timetable - 20/03/2018 P 16

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