Pandaplan

The Pandaplan converter functions offer the opportunity to create Pandapower. and Pandapipes network models from DAVE-generated datasets. Furthermore, There is also the option to adapt the data to fit into definable boundaries

pandapower is a open source network analysis tool for electrical networks.

dave_core.converter.create_pandapower(grid_data, opt_model, output_folder, save_data=True)

This function creates a pandapower network based an the DaVe dataset

INPUT:

grid_data (attrdict) - calculated grid data from dave

opt_model (bool) - optimize model during model processing

output_folder (str) - patht to the location where the results will be saved

save_data (boolean, default True) - if true, the resulting data will stored in a local folder

OUTPUT:

net (attrdict) - pandapower attrdict with grid data

dave_core.converter.power_processing(net, opt_model=False, min_vm_pu=0.95, max_vm_pu=1.05, max_line_loading=100, max_trafo_loading=100)

This function run a diagnosis of the pandapower network and clean up occurring failures. Furthermore the grid will be adapt so all boundarys be respected.

INPUT:

net (attrdict) - pandapower attrdict

OPTIONAL:

opt_model (bool, default False) - If True the model will be optimized to respecting defined grid limits min_vm_pu (float, default 0.95) - minimal permissible node voltage in p.u.

max_vm_pu (float, default 1.05) - maximum permissible node voltage in p.u.

max_line_loading (int, default 100) - maximum permissible line loading in %

max_trafo_loading (int, default 100) - maximum permissible transformer loading in %

OUTPUT:

net (attrdict) - A cleaned up and if necessary optimized pandapower attrdict

pandapipes is a open source network analysis tool for gas and heat networks.

dave_core.converter.create_pandapipes(grid_data, save_data=True, output_folder=None, fluid=None, idx_ref='dave_name')

This function creates a pandapipes network based an the DaVe dataset

INPUT:

grid_data (attrdict) - calculated grid data from dave

OPTIONAL:

save_data (boolean, default True) - if true, the resulting data will stored in a local folder output_folder (str, default=None) - patht to the location where the results will be saved

idx_ref (str, default=’dave_name’) - defines parameter which should use as referenz for setting the indices fluid (str, default=None) - A fluid that can be added to the net from the start. A fluid is required for pipeflow calculations. Existing fluids in pandapipes are “hgas”, “lgas”, “hydrogen”, “methane”, “water”, “air”

OUTPUT:

net (attrdict) - pandapipes attrdict with grid data

If you already have a Pandapower or Pandapipes network model, DAVE can be used to integrate additional geographical data into the model. This could be helpful! for example, when planning network expansion.

dave_core.converter.add_geodata(net, buffer=10, crs='epsg:4326', save_data=True)

This function extends a pandapower/pandapipes net with geodata from DAVE

INPUT:

net (pandapower net) - A pandapower network

dave_user (str) - User name of a DAVE Account

dave_password (str) - Password of a DAVE Account

OPTIONAL:

buffer (float) - Buffer around the considered network elements

crs (str, default: ‘epsg:4326’) - Definition of the network coordinate reference system

save_data (boolean, default True) - if true, the resulting data will stored in a local folder

OUTPUT:

net (pandapower/pandapipes net) - pandapower net extended with geodata

dave_core.converter.get_grid_area(net, buffer=10, crs='epsg:4326', convex_hull=True)

Calculation of the grid area on the basis of an pandapower / pandapipes model and the inclusion of a buffer.

The crs will temporary project to epsg 3035 for adding the buffer in meter as unit

Input:

net (pandapower/pandapipes net) - A energy grid in pandapower or pandapipes format

buffer (float, 10) - Buffer around the considered network elements in meter

crs (str, ‘epsg:4326’) - Definition of the network coordinate reference system

convex_hull (boolean, True)- If true the the convex hull will calculated for the given lines instaed of onyly using a buffer around the lines

OUTPUT:

grid_area (Shapely polygon) - Polygon which defines the grid area for a given network

dave_core.converter.reduce_network(net, area, cross_border=True, crs='epsg:4326')

Reduce a pandapower/pandapipes network to a smaller area of interest

Input:

net (pandapower/pandapipes net) - A energy grid in pandapower or pandapipes format

area (shapely Polygon) - Polygon of the considered network area

cross_border (bool, default True) - Definition how to deal with lines that going beyond the area border. If True these lines will considered and their associated nodes outside the area border as well. If False these lines will deleted and all network elements are within the area border

crs (str, default: ‘epsg:4326’) - Definition of the network coordinate reference system

OUTPUT:

net (pandapower/pandapipes net) - network reduced to considered area

dave_core.converter.request_geo_data(grid_area, crs, save_data=True)

This function requests all available geodata for a given area from DAVE.

Input:

grid_area (Shapely polygon) - Polygon which defines the considered grid area

crs (str, default: ‘epsg:4326’) - Definition of the network coordinate reference system

OPTIONAL:

save_data (boolean, default True) - if true, the resulting data will stored in a local folder

OUTPUT:

request_geodata (pandapower net) - geodata for the grid_area from DAVE

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