Classification of Pylovo Grids

Pylovo is a python tool for low-voltage distribution grid generation.

The package classification provides the utility of finding representative grids for LV-grids

of Germany or a federal state like Bayern.

Overview of the Classification

An overview of the classification steps is provided here:

• Short Summary of the Classification Steps

Run the Classification

To use this package pylovo needs to be fully set up. Please refer to Installation.

To apply the classification visit this page:

• Usage
  • Step 1: Configure the classification
  • Step 2: Calculate the Data for Clustering
  • Step 3: Inspect sampling results (optional)
  • Step 4: Inspect grid generation results (optional)
  • Step 5: Inspect grid parameters (optional)
  • Step 6: Choose parameters for clustering
  • Step 7: Choose number of clusters
  • Step 8: Clustering results

How the Classification Works

Here are some more details about which functions are called for the classification steps.

• Classification Steps
  • Create a Sample Set of PLZ for Clustering
  • Grid Generation for Classification
  • Calculate Parameters for Grids
  • Filter Grids
  • Cluster the Grids