Introduction

Overview pylovo (PYthon tool for LOw-VOltage distribution grid generation)

This tool provides a comprehensive public-data-based module to generate synthetic low-voltage distribution grids for a freely-selected research area. The main data input is the buildings, roads and transformers geographic data that are obtained from OpenStreetMap, with additional auxiliary datasets including postal code area polygons (to identify and select research areas), consumer categories (to estimate loading performances of different types of buildings and households) and infrastructure parameters, etc. The result outputs a feasible solution of aggregated distribution grid networks within the research scope and can automatically analyse the important grid statistics to enable the user to evaluate the general grid properties for the generated synthetic grids.

At the current state of the project the data is prepared for Bavaria, but will be extended to Germany. Due to the large amount of data, external users need to setup a local PosgreSQL database for the grid generation process. A step by step tutorial to understand the product of this tool can be found in the notebook_tutorials directory.

Note

Citation: In case you use pylovo in a scientific publication, we kindly request you to cite our publication listed in the Futher Reading section.
Collaboration: pylovo is open-source available on GitHub and open for collaboration.

Contents

In this documentation you can find instructions and information on:

Default view

Acknowledgement

The development of this software has been supported by contributions of the following persons: Soner Candas, Deniz Tepe, Tong Ye, Daniel Baur, Julian Zimmer and Berkay Olgun.

Structure