Metadata-Version: 2.1
Name: fpowerkit
Version: 0.3.2
Summary: A PDN solver with multiple solutions.
Author: fmy_xfk
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: feasytools>=0.0.21
Requires-Dist: numpy>=1.19.0

# FPowerKit - A power distribution network calculation component

This is a package designed for power distribution network solving.

This package is affiliated to V2Sim, an open-aource microscopic V2G simulation platform in urban power and transportation network. If you are using the modified DistFlow model in this package, please cite the [paper](https://ieeexplore.ieee.org/document/10970754)：

```
@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},
  pages={1-1},
  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}}

```

There are 3 modes for this package to work:

- Optimal power flow (OPF): Use cvxpy to solve the optimal power flow and determine the output of the generators.

- Power flow calculation: Use OpenDSS/GridCal/Inner Newton-Raphson method to solve the power flow.

- Hybrid: Use OPF to determine the initial value, and then use OpenDSS/GridCal/Inner Newton-Raphson to perform accurate calculation.

Since this package is still under development, the API is unstable and may be changed anytime.

Please visit https://gitee.com/fmy_xfk/fpowerkit to read the detailed introduction and the usage.
