plots: Add more plot types

examples/development/entrypoint_plotting.py

@@ -20,6 +20,8 @@ def main():
     mesmo.plots.der_aggregated_active_power_time_series(run_results, results_path)
     mesmo.plots.der_aggregated_reactive_power_time_series(run_results, results_path)
     mesmo.plots.der_aggregated_apparent_power_time_series(run_results, results_path)
+    mesmo.plots.node_voltage_per_unit_time_series(run_results, results_path)
+    mesmo.plots.node_aggregated_voltage_per_unit_time_series(run_results, results_path)
 
     # Print results path.
     mesmo.utils.launch(results_path)

mesmo/plots/__init__.py

@@ -7,4 +7,6 @@
     der_aggregated_active_power_time_series,
     der_aggregated_reactive_power_time_series,
     der_aggregated_apparent_power_time_series,
+    node_voltage_per_unit_time_series,
+    node_aggregated_voltage_per_unit_time_series,
 )

mesmo/plots/constants.py

@@ -6,11 +6,14 @@ class ValueUnitLabels(str, enum.Enum):
     WATT = "MW"
     VOLT_AMPERE_REACTIVE = "MVAr"
     VOLT_AMPERE = "MVA"
+    VOLT_PER_UNIT = "V (per-unit)"
 
 
 class ValueLabels(str, enum.Enum):
     TIME = "Date/Time"
     DERS = "DERs"
+    NODES = "Nodes"
     ACTIVE_POWER = "Active power"
     REACTIVE_POWER = "Reactive power"
     APPARENT_POWER = "Apparent power"
+    VOLTAGE = "Voltage"

mesmo/plots/time_series.py

@@ -86,6 +86,7 @@ def der_aggregated_active_power_time_series(results: data_models.RunResults, res
         title=title,
         xaxis_title=x_label,
         yaxis_title=y_label,
+        showlegend=False,
     )
     plot_utils.write_figure_plotly(figure, results_path / filename)
 
@@ -104,6 +105,7 @@ def der_aggregated_reactive_power_time_series(results: data_models.RunResults, r
         title=title,
         xaxis_title=x_label,
         yaxis_title=y_label,
+        showlegend=False,
     )
     plot_utils.write_figure_plotly(figure, results_path / filename)
 
@@ -126,5 +128,44 @@ def der_aggregated_apparent_power_time_series(results: data_models.RunResults, r
         title=title,
         xaxis_title=x_label,
         yaxis_title=y_label,
+        showlegend=False,
+    )
+    plot_utils.write_figure_plotly(figure, results_path / filename)
+
+def node_voltage_per_unit_time_series(results: data_models.RunResults, results_path: pathlib.Path):
+    title = f"{constants.ValueLabels.VOLTAGE} per Nodes"
+    filename = node_voltage_per_unit_time_series.__name__
+    x_label = constants.ValueLabels.TIME
+    y_label = f"{constants.ValueLabels.VOLTAGE} [{constants.ValueUnitLabels.VOLT_PER_UNIT}]"
+    legend_title = constants.ValueLabels.NODES
+
+    figure = go.Figure()
+    for node_type, node_name, phase in results.electric_grid_model_index.nodes:
+        values = results.electric_grid_operation_results.node_voltage_magnitude_vector_per_unit.loc[:, (slice(None), node_name, slice(None))].mean(axis="columns")
+        figure.add_trace(go.Scatter(x=values.index, y=values.values, name=f"{node_name} ({node_type})"))
+    figure.update_layout(
+        title=title,
+        xaxis_title=x_label,
+        yaxis_title=y_label,
+        legend=go.layout.Legend(title=legend_title, x=0.99, xanchor="auto", y=0.99, yanchor="auto"),
+    )
+    plot_utils.write_figure_plotly(figure, results_path / filename)
+
+
+def node_aggregated_voltage_per_unit_time_series(results: data_models.RunResults, results_path: pathlib.Path):
+    title = f"{constants.ValueLabels.VOLTAGE} aggregated for all Nodes"
+    filename = node_voltage_per_unit_time_series.__name__
+    x_label = constants.ValueLabels.TIME
+    y_label = f"{constants.ValueLabels.VOLTAGE} [{constants.ValueUnitLabels.VOLT_PER_UNIT}]"
+
+    figure = go.Figure()
+    for timestep in results.electric_grid_model_index.timesteps:
+        values = results.electric_grid_operation_results.node_voltage_magnitude_vector_per_unit.loc[timestep, :]
+        figure.add_trace(go.Box(name=timestep.isoformat(), y=values.T.values))
+    figure.update_layout(
+        title=title,
+        xaxis_title=x_label,
+        yaxis_title=y_label,
+        showlegend=False,
     )
     plot_utils.write_figure_plotly(figure, results_path / filename)