Skip to content

Latest commit

 

History

History
executable file
·
50 lines (28 loc) · 1.69 KB

README.md

File metadata and controls

executable file
·
50 lines (28 loc) · 1.69 KB

Two-Timescale Traction Simulation

main

main.py is the primary simulation script. Since the simulation takes a long time, data generated during the simulation is saved in real-time into the log directory.

Data

The Data folder stores data required for simulation experiments:

  1. DFs: Stores train operation topology and status data.

    • 18-hour train operation data is automatically generated using train schedules, traction substation distributions, dwelling times, etc.
    • Data generation is encapsulated in Funcs/TractionDataCreate and can be run via Funcs/TractionDataCreate/main.py, saving results as .csv files.
    • In the simulation, data is read using pandas via the MyProcess.load_DFs() method.

  2. load_avg: Minute-level load information for each traction substation from day-ahead calculations. Generated by running loadDistributeMain.py.

  3. Price: Time-of-use electricity price information, based on industrial electricity data in Beijing.

  4. PVs: Photovoltaic (PV) generation data.

Funcs

controlParam

Stores simulation parameters.

PF

Defines a series of functions for power flow equations.

OPF

Funcs/OPF/efficiencyOPF defines three types of functions:

  1. offlineEfficiencyOPF.py: Offline dispatch solver for baseline electricity cost comparison.
  2. dayAheadEfficiencyOPF.py: Day-ahead dispatch solver, outputs SOC curves for online dispatch tracking.
  3. realTimeEfficiencyOPF.py: Online decision-making solver.

TractionDataCreate

Defines methods for generating locomotive operation status data.

admittanceMatrix_split & admittanceMatrix

Used to calculate the admittance matrix for power flow equations.