pypowsybl 0.18.0

A PowSyBl Python API

PyPowSyBl

The PyPowSyBl project gives access PowSyBl Java framework to Python developers. This Python integration relies on GraalVM to compile Java code to a native library.

Documentation

Latest version of the documentation with API reference and many code samples is here.

Notebooks

Notebooks demonstrating PyPowSyBl features can be found in this repository.

Installation

PyPowSyBl is released on PyPi for Python 3.7 to 3.10, on Linux, Windows and MacOS.

First, make sure you have an up-to-date version of pip and setuptools:

pip install --upgrade setuptools pip

Then you can install PyPowSyBl using pip:

pip install pypowsybl

Getting started

First, we have to import pypowsybl:

import pypowsybl as pp

We can create an IEEE 14 buses network and run a load flow computation:

n = pp.network.create_ieee14()
results = pp.loadflow.run_ac(n)
print(results)

[LoadFlowComponentResult(component_num=0, status=CONVERGED, iteration_count=3, slack_bus_id='VL4_0', slack_bus_active_power_mismatch=-0.006081)]

We can now get buses data (like any other network elements) as a Pandas dataframe:

buses = n.get_buses()
print(buses)

        v_mag  v_angle
VL1_0   1.060     0.00
VL2_0   1.045    -4.98
VL3_0   1.010   -12.72
VL4_0   1.019   -10.33
VL5_0   1.020    -8.78
VL6_0   1.070   -14.22
VL7_0   1.062   -13.37
VL8_0   1.090   -13.36
VL9_0   1.056   -14.94
VL10_0  1.051   -15.10
VL11_0  1.057   -14.79
VL12_0  1.055   -15.07
VL13_0  1.050   -15.16
VL14_0  1.036   -16.04

This is just a quick appetizer of PyPowSyBl features. PyPowsybl provides a lot more features: security analysis, sensitivity analysis, handling of multiple file formats (including CGMES), substation and network diagrams generation, ... For more details and examples, go to the documentation and Jupyter notebooks.

Build from sources

That section is intended for developers who wish to build pypowsybl from the sources in this repository.

Requirements:

• Maven >= 3.1
• Cmake >= 3.14
• C++11 compiler
• Python >= 3.7 for Linux, Windows and MacOS amd64
• Python >= 3.8 for MacOS arm64
• GraalVM 22.2.0 with native image

To build from sources and install PyPowSyBl package:

git clone --recursive https://github.com/powsybl/pypowsybl.git
export JAVA_HOME=<path to GraalVM>
pip install --upgrade setuptools pip
pip install -r requirements.txt
pip install .

While developing, you may find it convenient to use the developer (or editable) mode of installation:

USE_NATIVE_IMAGE_JAVA_PLATFORM_MODULE_SYSTEM=false pip install -e .
# or, to build the C extension with debug symbols:
USE_NATIVE_IMAGE_JAVA_PLATFORM_MODULE_SYSTEM=false python setup.py build --debug develop --user

Please refer to pip and setuptools documentations for more information.

To run unit tests:

pytest tests

To run static type checking with mypy:

mypy -p pypowsybl

To run linting inspection with pylint:

pylint pypowsybl

Contribute to documentation

To run the tests included in the documentation:

cd docs/
make doctest

And then, to build the documentation:

make html

Web pages are generated in repository _build/html/ for preview before openning a pull request. You can for example open it with firefox browser:

firefox _build/html/index.html