Metadata-Version: 2.4
Name: v2sim
Version: 1.5.0
Summary: V2Sim: An Open-Source V2G Simulation Platform in Urban Power and Transportation Network
Project-URL: Homepage, https://github.com/hesl-seu/v2sim
Project-URL: Documentation, https://hesl-seu.github.io/v2sim-wiki/
Project-URL: Repository, https://github.com/hesl-seu/v2sim
Project-URL: Issues, https://github.com/hesl-seu/v2sim/issues
License-Expression: BSD-3-Clause
License-File: LICENSE
Requires-Python: >=3.9
Requires-Dist: cloudpickle
Requires-Dist: dill
Requires-Dist: feasytools>=0.1.4
Requires-Dist: fpowerkit>=0.4.3
Requires-Dist: libsumo
Requires-Dist: matplotlib
Requires-Dist: networkx>=3.2.1
Requires-Dist: numpy
Requires-Dist: pyproj
Requires-Dist: requests
Requires-Dist: scipy
Requires-Dist: sumolib
Provides-Extra: pdn
Requires-Dist: cbc; extra == 'pdn'
Requires-Dist: cvxpy; extra == 'pdn'
Description-Content-Type: text/markdown

## ADDENDUM
The appendix of the paper seems to be lost when uploading the final manuscript. The content of the appendix (bundles of data) can be found [here](https://github.com/hesl-seu/v2sim/tree/main/v2sim/probtable).

# V2Sim: Open-Source V2G Simulation Platform in Urban Power and Transportation Network

**Documents:** http://v2sim.heslab.wiki/

V2Sim is a V2G simulation platform in urban power and transportation network. It is open-source under BSD license. The traffic simulation is based on either [UXsim](https://github.com/toruseo/UXsim) or [SUMO](https://eclipse.dev/sumo/)

Note: Some UXsim code are integrated in this repository, which follows the license used by UXsim.

## Quick start
Visit our documents to see the quick start guide. Links:
+ http://v2sim.heslab.wiki/ (English)  
+ http://v2sim.heslab.wiki/#/zh_hans/ (简体中文)


## Cite

If you are using V2Sim, please cite the paper:
```
@ARTICLE{10970754,
  author={Qian, Tao and Fang, Mingyu and Hu, Qinran and Shao, Chengcheng and Zheng, Junyi},
  journal={IEEE Transactions on Smart Grid}, 
  title={V2Sim: An Open-Source Microscopic V2G Simulation Platform in Urban Power and Transportation Network}, 
  year={2025},
  volume={16},
  number={4},
  pages={3167-3178},
  keywords={Vehicle-to-grid;Partial discharges;Microscopy;Batteries;Planning;Discharges (electric);Optimization;Vehicle dynamics;Transportation;Roads;EV charging load simulation;microscopic EV behavior;vehicle-to-grid;charging station fault sensing},
  doi={10.1109/TSG.2025.3560976}}
```
