support pandapower parameters step_dependency_table and tap_dependency_table, released with pandapower version 3.0.0

Author: Steffen Meinecke

CHANGELOG.rst

@@ -4,6 +4,7 @@ Change Log
 [1.6.0] - 2024-xx-xx
 ----------------------
 - [CHANGED] support pandapower geojson, released with pandapower version 3.0.0
+- [ADDED] support pandapower parameters step_dependency_table and tap_dependency_table, released with pandapower version 3.0.0
 - [CHANGED] drop python 3.8 support
 
 [1.5.3] - 2024-04-23

simbench/converter/csv_pp_converter.py

@@ -3,7 +3,10 @@
 # contributors (see AUTHORS file for details). All rights reserved.
 
 # This is the csv_pp_converter for the simbench project.
-# pandapower 2.0.1 <-> simbench format (reasled status from 25.04.2019)
+
+# OPTIONAL IMPROVEMENTS for compatibility with future pandapower changes: constructing the
+# dataframes net[element_table] by using the create_buses(), create_lines(), ... functions
+# which where fast enough or not available at the time SimBench was developed.
 
 import os
 import pandas as pd
@@ -28,7 +31,7 @@
 from simbench.converter.pp_net_manipulation import _extend_pandapower_net_columns, \
     _add_dspf_calc_type_and_phys_type_columns, _add_vm_va_setpoints_to_buses, \
     _prepare_res_bus_table, replace_branch_switches, create_branch_switches, _add_coordID, \
-    _set_vm_setpoint_to_trafos
+    _set_vm_setpoint_to_trafos, _set_dependency_table_parameters
 from simbench.converter.csv_data_manipulation import *
 from simbench.converter.csv_data_manipulation import _extend_coordinates_to_node_shape, \
     _sort_switch_nodes_and_prepare_element_and_et, \
@@ -127,6 +130,7 @@ def csv_data2pp(csv_data):
     create_branch_switches(net)
     net.bus.loc[net.bus.type == "multi_auxiliary", "type"] = "auxiliary"
     _set_vm_setpoint_to_trafos(net, csv_data)
+    _set_dependency_table_parameters(net)
     _csv_types_to_pp2(net)
     ensure_bus_index_columns_as_int(net)
 
@@ -222,15 +226,20 @@ def pp2csv_data(net1, export_pp_std_types=False, drop_inactive_elements=True,
     csv_data = _init_csv_tables(['elements', 'profiles', 'types', 'res_elements'])
     aux_nodes_are_reserved = reserved_aux_node_names is not None
 
+    if ("step_dependency_table" in net1.trafo.columns and net1.trafo.step_dependency_table.any()) \
+        or \
+        ("step_dependency_table" in net1.shunt.columns and net1.shunt.step_dependency_table.any()):
+        logger.warning("'step_dependency_table' is not supported in SimBench's csv data format.")
+
     # --- net data preparation for converting
     _extend_pandapower_net_columns(net)
     if drop_inactive_elements:
         # attention: trafo3ws are not considered in current version of drop_inactive_elements()
         pp.drop_inactive_elements(net, respect_switches=False)
-    check_results = pp.deviation_from_std_type(net)
-    if check_results:
+    dev_from_std = pp.deviation_from_std_type(net)
+    if dev_from_std:
         logger.warning("There are deviations from standard types in elements: " +
-                       str(["%s" % elm for elm in check_results.keys()]) + ". Only the standard " +
+                       str(["%s" % elm for elm in dev_from_std.keys()]) + ". Only the standard " +
                        "type values are converted to csv.")
     convert_parallel_branches(net)
     merge_busbar_coordinates(net, True)

simbench/converter/pp_net_manipulation.py

@@ -408,6 +408,13 @@ def _set_vm_setpoint_to_trafos(net, csv_data):
                     idx_node].values
 
 
+def _set_dependency_table_parameters(net):
+    for et in ["trafo", "trafo3w", "shunt"]:
+        param = "step_dependency_table" if et == "shunt" else "tap_dependency_table"
+        if param in net[et].columns:
+            net[et][param] = False
+            net[et][param] = net[et][param].astype(bool)
+
 def _prepare_res_bus_table(net):
     """ Adds columns to be converted to csv_data. """
     if net.res_bus.shape[0]:

simbench/test/converter/test_csv_pp_converter.py

@@ -256,7 +256,7 @@ def test_example_simple():
                     logger.error("dtype adjustment of %s failed." % key)
             # drop result table rows
             if pp_is_27lower and "res_" in key:
-                if not key == "res_bus":
+                if key != "res_bus":
                     net[key] = net[key].iloc[0:0]
                 else:
                     net[key].loc[:, ["p_mw", "q_mvar"]] = np.nan