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Feb 17, 2025
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Generic branch: examples #900

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removed german comments, added toc
scud-soptim Feb 17, 2025
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scud-soptim Feb 17, 2025
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31 changes: 13 additions & 18 deletions docs/examples/Generic Branch Example.ipynb
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Expand Up @@ -175,24 +175,24 @@
"\"\"\"\n",
"\n",
"\n",
"# Spannungsebenen des Transformators\n",
"# Voltage levels of the transformer\n",
"u_rated = {\"HV\": 200e3, \"MV\": 150e3, \"LV\": 30.2e3, \"AUX\": 200e3, \"Station1\": 150e3, \"Source\": 200e3}\n",
"\n",
"# Eingespeiste Leistung (200 kV) auf der 380 kV Seite\n",
"# Injected power (200 kV) on the 380 kV side\n",
"source_voltage = u_rated[\"Source\"] # 200 kV\n",
"source_power = 1e40 # hohe Kurzschlussleistung -> v_pu = 1.0\n",
"\n",
"# Lasten\n",
"# Loads\n",
"load_MV = {\"P\": 30e6, \"Q\": 5e6}\n",
"load_LV = {\"P\": 1.5e6, \"Q\": 0.15e6} # Eigenbedarf\n",
"\n",
"# Zuweisung der Knotennummern\n",
"# Assignment of node numbers\n",
"nodes = {\"HV\": 1, \"MV\": 2, \"LV\": 3, \"AUX\": 4, \"Station1\": 11, \"Source\": 14}\n",
"non = len(nodes) # number of nodes\n",
"# tap-changer\n",
"v_tap = 6.0e3\n",
"\n",
"# Generiere Knoten\n",
"# generated nodes\n",
"node_data = initialize_array(DatasetType.input, ComponentType.node, non)\n",
"node_data[\"id\"] = list(nodes.values())\n",
"node_data[\"u_rated\"] = list(u_rated.values())\n",
Expand All @@ -202,15 +202,15 @@
"\n",
"# node_data[\"u_rated\"] = [u_rated['HV'], u_rated['MV'], u_rated['LV'], u_rated['AUX'],u_rated['Station1'] ]\n",
"\n",
"# Quelle auf der 380kV-Seite (Slack)\n",
"# Slack\n",
"source_data = initialize_array(DatasetType.input, ComponentType.source, 1)\n",
"source_data[\"id\"] = [5]\n",
"source_data[\"node\"] = [nodes[\"Source\"]]\n",
"source_data[\"status\"] = [1]\n",
"source_data[\"u_ref\"] = [1.0]\n",
"source_data[\"sk\"] = [source_power]\n",
"\n",
"# Last auf der 110kV-Seite\n",
"# Loads 110kV\n",
"load_data = initialize_array(DatasetType.input, ComponentType.sym_load, 2)\n",
"load_data[\"id\"] = [6, 7]\n",
"load_data[\"type\"] = [LoadGenType.const_power, LoadGenType.const_power]\n",
Expand All @@ -222,10 +222,10 @@
"node_name = [\"HV\", \"MV\", \"LV\", \"AUX\", \"Station1\", \"Source\"]\n",
"branch_name = [\"BHV\", \"BMV\", \"BLV\", \"BLine2\", \"BLine1\"]\n",
"\n",
"# Generic Branch für jeden der zwei Wickler\n",
"\n",
"branch_data = initialize_array(DatasetType.input, ComponentType.generic_branch, 5)\n",
"\n",
"# Verbindungen der zwei Wickler\n",
"\n",
"branch_data[\"id\"] = [8, 9, 10, 12, 13]\n",
"branch_data[\"from_node\"] = [nodes[\"HV\"], nodes[\"AUX\"], nodes[\"AUX\"], nodes[\"MV\"], nodes[\"Source\"]]\n",
"branch_data[\"to_node\"] = [nodes[\"AUX\"], nodes[\"MV\"], nodes[\"LV\"], nodes[\"Station1\"], nodes[\"HV\"]]\n",
Expand All @@ -241,18 +241,17 @@
"branch_data[\"theta\"] = [0.0, 0.0, 0.0, 0.0, 0.0]\n",
"branch_data[\"sn\"] = [450e6, 450e6, 100e6, 100e6, 450e6]\n",
"\n",
"# Input-Daten sammeln\n",
"input_data = {\n",
" ComponentType.node: node_data,\n",
" ComponentType.source: source_data,\n",
" ComponentType.sym_load: load_data,\n",
" ComponentType.generic_branch: branch_data,\n",
"}\n",
"\n",
"# Überprüfung der Eingabedaten\n",
"\n",
"assert_valid_input_data(input_data=input_data, calculation_type=CalculationType.power_flow)\n",
"\n",
"# Power-Flow Modell erstellen und Berechnungen durchführen\n",
"\n",
"model = PowerGridModel(input_data)\n",
"output_data = model.calculate_power_flow(\n",
" symmetric=True, error_tolerance=1e-8, max_iterations=20, calculation_method=CalculationMethod.newton_raphson\n",
Expand Down Expand Up @@ -370,11 +369,10 @@
" genb_out = output_data[ComponentType.generic_branch]\n",
" df = pd.DataFrame(genb_out)\n",
"\n",
" # Summiere die aktive und reaktive Leistung über alle Branches hinweg\n",
" # Sum up the active and reactive performance across all branches\n",
" P_total = e6(df[\"p_from\"].sum()) + e6(df[\"p_to\"].sum())\n",
" Q_total = e6(df[\"q_from\"].sum()) + e6(df[\"q_to\"].sum())\n",
"\n",
" # Ausgabe der Gesamtsummen\n",
" print(\"\\nTotal Power for all Branches\")\n",
" print(\"----------------------------\")\n",
" print(f\"Total Active Power (P_total): {P_total:.2f} MW\")\n",
Expand All @@ -394,8 +392,6 @@
"print_load_input(input_data)\n",
"print_source_input(input_data)\n",
"\n",
"\n",
"# Ausgabe der Spannungen und Ströme\n",
"print(\"========================================\")\n",
"print(\" Output Data\")\n",
"print(\"========================================\")\n",
Expand Down Expand Up @@ -754,11 +750,10 @@
" genb_out = output_data[ComponentType.generic_branch]\n",
" df = pd.DataFrame(genb_out)\n",
"\n",
" # Summiere die aktive und reaktive Leistung über alle Branches hinweg\n",
" # Sum up the active and reactive performance across all branches\n",
" P_total = e6(df[\"p_from\"].sum()) + e6(df[\"p_to\"].sum())\n",
" Q_total = e6(df[\"q_from\"].sum()) + e6(df[\"q_to\"].sum())\n",
"\n",
" # Ausgabe der Gesamtsummen\n",
" print(\"\\nTotal Power for all Branches\")\n",
" print(\"----------------------------\")\n",
" print(f\"Total Active Power (P_total): {P_total:.2f} MW\")\n",
Expand Down
1 change: 1 addition & 0 deletions docs/index.md
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Original file line number Diff line number Diff line change
Expand Up @@ -93,6 +93,7 @@ examples/Validation Examples.ipynb
examples/Make Test Dataset.ipynb
examples/Asymmetric Calculation Example.ipynb
examples/Transformer Examples.ipynb
examples/Generic Branch Example.ipynb
```

```{toctree}
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