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.. pylovo gui documentation master file, created by sphinx-quickstart on Wed Jul 12 12:49:48 2023 | ||
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 automatically analyses the important grid statistics to enable the user to evaluate the | ||
general grid properties for the generated synthetic grids. | ||
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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. | ||
All the geographic data during the process is presented in PostGIS Geometry format where a Spatial Reference System | ||
should be defined to recognize the exact positions. For the Spatial Reference System by default, the SRID is selected as epsg:3035 since here the | ||
basic unit of geographic analysis is meter. When transforming to pandapower network, the geodata should be presented | ||
as lon/lat coordination which is epsg:4326 (automatically done in script), be careful of the two different reference | ||
system settings; | ||
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A comprehensive documentation can be found under https://pylovo.readthedocs.io/en/latest/ | ||
A step by step tutorial to understand the product of this tool in jupyter notebooks can be found under examples. | ||
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In this documentation you can find instructions and information on: | ||
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* how to install pylovo in :doc:`docs_pylovo/installation`. | ||
* how to generate grids in :doc:`grid_generation`. | ||
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.. image:: images/grid_generation/grid_generation_part_forchheim.png | ||
:width: 300 | ||
:alt: Default view | ||
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* how the grids are generated in :doc:`grid_generation/explanation/grid_generation_process`. | ||
* how to create grid classes and representative grids in :doc:`classification/index`. | ||
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.. image:: images/classification/classification_3grids.png | ||
:width: 600 | ||
:alt: Default view | ||
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* how to visualise your results in :doc:`visualisation/index`. | ||
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.. image:: images/visualisation/contextily.png | ||
:width: 300 | ||
:alt: Default view | ||
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Contents | ||
=============== | ||
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.. toctree:: | ||
:maxdepth: 2 | ||
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docs_pylovo/installation | ||
grid_generation/index | ||
classification/index | ||
visualisation/index | ||
docs_sphinx/index | ||
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Legal Notice | ||
========================== | ||
`MIT License <https://opensource.org/license/MIT>`_ , Copyright (C) 2023-2024 Beneharo Reveron Baecker | ||
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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. |