Fixes/#735 gas clustering not working with status2019

etrago/appl.py

@@ -681,49 +681,6 @@ def run_etrago(args, json_path):
     # adjust network regarding eTraGo setting
     etrago.adjust_network()
 
-    if etrago.args["scn_name"] == "status2019":
-        etrago.network.mremove(
-            "Link",
-            etrago.network.links[
-                ~etrago.network.links.bus0.isin(etrago.network.buses.index)
-            ].index,
-        )
-        etrago.network.mremove(
-            "Link",
-            etrago.network.links[
-                ~etrago.network.links.bus1.isin(etrago.network.buses.index)
-            ].index,
-        )
-        etrago.network.lines.loc[etrago.network.lines.r == 0.0, "r"] = 10
-
-        # delete following unconnected CH4 buses. why are they there?
-        etrago.network.buses.drop(
-            etrago.network.buses[
-                etrago.network.buses.index.isin(["37865", "37870"])
-            ].index,
-            inplace=True,
-        )
-
-        etrago.network.links.loc[
-            etrago.network.links.carrier.isin(
-                ["central_gas_chp", "industrial_gas_CHP"]
-            ),
-            "p_nom",
-        ] *= 1e-3
-        etrago.network.generators.loc[
-            etrago.network.generators.carrier.isin(
-                [
-                    "central_lignite_CHP",
-                    "industrial_lignite_CHP",
-                    "central_oil_CHP",
-                    "industrial_coal_CHP",
-                    "central_coal_CHP",
-                    "industrial_oil_CHP" "central_others_CHP",
-                ]
-            ),
-            "p_nom",
-        ] *= 1e-3
-
     # ehv network clustering
     etrago.ehv_clustering()
 
@@ -739,19 +696,14 @@ def run_etrago(args, json_path):
     etrago.skip_snapshots()
 
     # Temporary drop DLR as it is currently not working with sclopf
-    if etrago.args["method"] != "lopf":
+    if etrago.args["method"]["type"] != "lopf":
         etrago.network.lines_t.s_max_pu = pd.DataFrame(
             index=etrago.network.snapshots,
             columns=etrago.network.lines.index,
             data=1.0,
         )
 
     # start linear optimal powerflow calculations
-
-    etrago.network.storage_units.cyclic_state_of_charge = True
-
-    etrago.network.lines.loc[etrago.network.lines.r == 0.0, "r"] = 10
-
     etrago.optimize()
 
     # conduct lopf with full complex timeseries for dispatch disaggregation

etrago/cluster/gas.py

@@ -226,7 +226,7 @@ def weighting_for_scenario(ch4_buses, save=None):
         weight_ch4.loc[loaded_weights.index] = loaded_weights
     else:
         weight_ch4 = weighting_for_scenario(network_ch4.buses, save=False)
-    return network_ch4, weight_ch4.squeeze(), n_clusters
+    return network_ch4, weight_ch4.squeeze(axis=1), n_clusters
 
 
 def kmean_clustering_gas(etrago, network_ch4, weight, n_clusters):

etrago/cluster/spatial.py

@@ -775,13 +775,23 @@ def kmedoids_dijkstra_clustering(
 
         medoid_idx = distances.idxmin()
 
-        # dijkstra's algorithm
-        busmap = dijkstras_algorithm(
-            buses,
-            connections,
-            medoid_idx,
-            etrago.args["network_clustering"]["CPU_cores"],
-        )
+        if len(busmap) > n_clusters:
+            # dijkstra's algorithm
+            busmap = dijkstras_algorithm(
+                buses,
+                connections,
+                medoid_idx,
+                etrago.args["network_clustering"]["CPU_cores"],
+            )
+        elif len(busmap) < n_clusters:
+            logger.warning(
+                f"""
+            The number supplied to the parameter n_clusters for
+            {buses.carrier[0]} buses is larger than the actual number of buses
+            in the network.
+            """
+            )
+
         busmap.index.name = "bus_id"
 
     return busmap, medoid_idx