try outs

etrago/appl.py

@@ -50,11 +50,11 @@
 
 args = {
     # Setup and Configuration:
-    "db": "local",  # database session
+    "db": "local2035",  # database session
     "gridversion": None,  # None for model_draft or Version number
     "method": {  # Choose method and settings for optimization
         "type": "market_grid",  # type of optimization, currently only 'lopf'
-        "n_iter": 4,  # abort criterion of iterative optimization, 'n_iter' or 'threshold'
+        "n_iter": 2,  # abort criterion of iterative optimization, 'n_iter' or 'threshold'
         "pyomo": True,  # set if pyomo is used for model building
     },
     "pf_post_lopf": {
@@ -63,7 +63,7 @@
         "q_allocation": "p_nom",  # allocate reactive power via 'p_nom' or 'p'
     },
     "start_snapshot": 1,
-    "end_snapshot": 2,
+    "end_snapshot": 24,
     "solver": "gurobi",  # glpk, cplex or gurobi
     "solver_options": {
         "BarConvTol": 1.0e-5,
@@ -74,13 +74,13 @@
         "threads": 4,
     },
     "model_formulation": "kirchhoff",  # angles or kirchhoff
-    "scn_name": "status2019",  # scenario: eGon2035, eGon100RE or status2019
+    "scn_name": "eGon2035",  # scenario: eGon2035, eGon100RE or status2019
     # Scenario variations:
     "scn_extension": None,  # None or array of extension scenarios
     "scn_decommissioning": None,  # None or decommissioning scenario
     # Export options:
     "lpfile": False,  # save pyomo's lp file: False or /path/to/lpfile.lp
-    "csv_export": "results",  # save results as csv: False or /path/tofolder
+    "csv_export": "/home/ulf/Documents/PoWErD/AP2etrago_results/consecutive_100b_3t_2035",  # save results as csv: False or /path/tofolder
     # Settings:
     "extendable": {
         "extendable_components": [
@@ -100,14 +100,14 @@
             "grid_max_abs_foreign": None,  # absolute capacity per voltage level
         },
     },
-    "generator_noise": 123456,  # apply generator noise, False or seed number
+    "generator_noise": 1234567,  # apply generator noise, False or seed number
     "extra_functionality": {},  # Choose function name or {}
     # Spatial Complexity:
     "network_clustering_ehv": False,  # clustering of HV buses to EHV buses
     "network_clustering": {
         "active": True,  # choose if clustering is activated
         "method": "kmeans",  # choose clustering method: kmeans or kmedoids-dijkstra
-        "n_clusters_AC": 100,  # total number of resulting AC nodes (DE+foreign)
+        "n_clusters_AC": 50,  # total number of resulting AC nodes (DE+foreign)
         "cluster_foreign_AC": False,  # take foreign AC buses into account, True or False
         "method_gas": "kmeans",  # choose clustering method: kmeans or kmedoids-dijkstra
         "n_clusters_gas": 14,  # total number of resulting CH4 nodes (DE+foreign)
@@ -122,8 +122,8 @@
         "remove_stubs": False,  # remove stubs bevore kmeans clustering
         "use_reduced_coordinates": False,  # If True, do not average cluster coordinates
         "random_state": 42,  # random state for replicability of clustering results
-        "n_init": 2,  # affects clustering algorithm, only change when neccesary
-        "max_iter": 10,  # affects clustering algorithm, only change when neccesary
+        "n_init": 4,  # affects clustering algorithm, only change when neccesary
+        "max_iter": 20,  # affects clustering algorithm, only change when neccesary
         "tol": 1e-6,  # affects clustering algorithm, only change when neccesary
         "CPU_cores": 2,  # number of cores used during clustering, "max" for all cores available.
     },
@@ -148,7 +148,7 @@
         "n_clusters": 5,  #  number of periods - only relevant for 'typical_periods'
         "n_segments": 5,  # number of segments - only relevant for segmentation
     },
-    "skip_snapshots": False,  # False or number of snapshots to skip
+    "skip_snapshots": 3,  # False or number of snapshots to skip
     "temporal_disaggregation": {
         "active": False,  # choose if temporally full complex dispatch optimization should be conducted
         "no_slices": 8,  # number of subproblems optimization is divided into

etrago/execute/grid_optimization.py

@@ -42,6 +42,8 @@ def grid_optimization(self):
 
     logger.info("Start building grid optimization model")
     add_redispatch_generators(self)
+    self.network.generators.drop(self.network.generators[self.network.generators.index.str.contains('ramp')].index, inplace=True)
+    self.network.links.drop(self.network.links[self.network.links.index.str.contains('ramp')].index, inplace=True)
 
     logger.info("Start solving grid optimization model")
     self.network.lopf(
@@ -51,6 +53,7 @@ def grid_optimization(self):
         extra_functionality=extra_functionality(),
         formulation=self.args["model_formulation"],
     )
+    self.export_to_csv(self.args["csv_export"])
 
 
 def add_redispatch_generators(self):
@@ -253,7 +256,7 @@ def add_redispatch_generators(self):
     ).values
 
     # just for the current status2019 scenario a quick fix for buses which do not have a connection
-    self.network.buses.drop(self.network.buses[self.network.buses.index.isin(['47085', '47086', '37865', '37870'])].index, inplace=True)
+    #self.network.buses.drop(self.network.buses[self.network.buses.index.isin(['47085', '47086', '37865', '37870'])].index, inplace=True)
 
 def extra_functionality():
     return None

etrago/execute/market_optimization.py

@@ -134,7 +134,7 @@ def build_market_model(self):
     #net.buses.loc[net.buses.carrier == 'AC', 'carrier'] = "DC"
 
     # delete following unconnected CH4 buses. why are they there?
-    net.buses.drop(net.buses[net.buses.index.isin(['37865', '37870'])].index, inplace=True)
+    #net.buses.drop(net.buses[net.buses.index.isin(['37865', '37870'])].index, inplace=True)
 
     self.market_model = net