Mentions

Quick Overview

Chronix2Grid is a python package, providing a command-line application as well, that allows to generate synthetic but realistic consumption, renewable production, electricity loss (dissipation) and economic dispatched productions chronics given a power grid. Reference data that you provide will serve to calibrate the parameters so that the synthetic data reproduce some realistic criteria (KPIs) from the reference data.

Features

• Specify a power grid model

• Generates many scenarios of realistic load, loss, solar, wind, hydro and thermic power chronics

• Choose time scale and temporal resolution

• Check if the synthetic chronics are realistic compared to reference chronics (TSO, renewable ninja) following several KPIs

• Easily interface your own generation models

4 generation submodules and a KPI module are available. These submodules are modular interface for your own generation model

• L - load generation

• R - wind and solar production generation

• D - loss generation a priori, that will be used for dispatch and potentially corrected afterwards

• T - thermic production generation thanks to a production dispatch (simplified optimal power flow computation)

• K - KPI generation in order to compare synthetic (generated) chronics to reference (real-life) chronics

Contribute

• Issue Tracker: https://github.com/mjothy/ChroniX2Grid/issues

• Source Code: https://github.com/mjothy/ChroniX2Grid/

Support

If you are having issues, please let us know on github

License

Copyright 2020-2021 RTE France

RTE: http://www.rte-france.com

This Source Code is subject to the terms of the Mozilla Public License (MPL) v2.