Metadata-Version: 2.1
Name: tensorpowerflow
Version: 0.0.1
Summary: Ultra fast power flow based in Laurent series expansion.
Author-email: e.m.salazar.duque@tue.nl
License: MIT
Project-URL: repository, https://github.com/MauricioSalazare/tensorpowerflow
Keywords: power flow,power systems,time series loading
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/x-rst
Provides-Extra: dev
Provides-Extra: test
Provides-Extra: doc
License-File: LICENSE


TensorPowerFlow
===============


What is TensorPowerFlow
-----------------------

An ultra-fast power flow based on Laurent series expansion. The power flow is intended for a applications where massive
amounts of power flows computations are required. e.g., electrical load time series, metaheuristics, electrical grid
environments for reinforcement learning.

How to install
--------------
The package can be installed via pip using:

.. code:: shell

    pip install tensorpowerflow

Readings
--------
The mathematical formulation of the power flow can be found at:

"A Fixed-Point Current Injection Power Flow for Electric Distribution Systems using Laurent Series." JS Giraldo,
OD Montoya, PP Vergara, F Milano. Power Systems Computational Conference (PSCC) 2022. `link <http://faraday1.ucd.ie/archive/papers/laurent.pdf>`_
