solve_network: enable rolling horizon

config/config.default.yaml

@@ -630,15 +630,18 @@ solving:
   #tmpdir: "path/to/tmp"
   options:
     clip_p_max_pu: 1.e-2
-    linearized_unit_commitment: true
     load_shedding: false
-    transmission_losses: 0
     noisy_costs: true
     skip_iterations: true
+    rolling_horizon: false
+    seed: 123
+    # options that go into the optimize function
     track_iterations: false
     min_iterations: 4
     max_iterations: 6
-    seed: 123
+    transmission_losses: 0
+    linearized_unit_commitment: true
+    horizon: 365
 
   solver:
     name: gurobi
@@ -666,7 +669,6 @@ solving:
       AggFill: 0
       PreDual: 0
       GURO_PAR_BARDENSETHRESH: 200
-      seed: 10              # Consistent seed for all plattforms
     gurobi-numeric-focus:
       name: gurobi
       NumericFocus: 3       # Favour numeric stability over speed

config/config.validation.yaml

@@ -70,7 +70,7 @@ renewable:
     cutout: europe-2019-era5
 
 conventional:
-  unit_commitment: true
+  unit_commitment: false
   dynamic_fuel_price: true
   nuclear:
     p_max_pu: "data/nuclear_p_max_pu.csv" # float of file name
@@ -88,3 +88,5 @@ solving:
   #tmpdir: "path/to/tmp"
   options:
     load_shedding: true
+    rolling_horizon: true
+    horizon: 365

config/test/config.validation.yaml

@@ -7,11 +7,14 @@ run:
 
 scenario:
   clusters:  # number of nodes in Europe, any integer between 37 (1 node per country-zone) and several hundred
-  - 37
+  - 37c
   opts: # only relevant for PyPSA-Eur
   - 'Ept'
 
 snapshots:
-  start: "2019-04-01"
-  end: "2019-04-10"
+  start: "2019-01-01"
+  end: "2019-02-01"
   inclusive: 'left' # include start, not end
+
+conventional:
+  unit_commitment: false

scripts/solve_network.py

@@ -598,47 +598,43 @@ def extra_functionality(n, snapshots):
 
 def solve_network(n, config, solving, opts="", **kwargs):
     set_of_options = solving["solver"]["options"]
-    solver_options = solving["solver_options"][set_of_options] if set_of_options else {}
-    solver_name = solving["solver"]["name"]
     cf_solving = solving["options"]
-    track_iterations = cf_solving.get("track_iterations", False)
-    min_iterations = cf_solving.get("min_iterations", 4)
-    max_iterations = cf_solving.get("max_iterations", 6)
-    transmission_losses = cf_solving.get("transmission_losses", 0)
-    linearized_unit_commitment = cf_solving.get("linearized_unit_commitment", False)
+    kwargs["solver_options"] = (
+        solving["solver_options"][set_of_options] if set_of_options else {}
+    )
+    kwargs["solver_name"] = solving["solver"]["name"]
+    kwargs["extra_functionality"] = extra_functionality
+    kwargs["transmission_losses"] = cf_solving.get("transmission_losses", False)
+    kwargs["linearized_unit_commitment"] = cf_solving.get(
+        "linearized_unit_commitment", False
+    )
+
+    rolling_horizon = cf_solving.pop("rolling_horizon", False)
+    skip_iterations = cf_solving.pop("skip_iterations", False)
+    if not n.lines.s_nom_extendable.any():
+        skip_iterations = True
+        logger.info("No expandable lines found. Skipping iterative solving.")
 
     # add to network for extra_functionality
     n.config = config
     n.opts = opts
 
-    skip_iterations = cf_solving.get("skip_iterations", False)
-    if not n.lines.s_nom_extendable.any():
-        skip_iterations = True
-        logger.info("No expandable lines found. Skipping iterative solving.")
-
-    if skip_iterations:
-        status, condition = n.optimize(
-            solver_name=solver_name,
-            transmission_losses=transmission_losses,
-            extra_functionality=extra_functionality,
-            linearized_unit_commitment=linearized_unit_commitment,
-            **solver_options,
-            **kwargs,
-        )
+    if rolling_horizon:
+        kwargs["horizon"] = cf_solving.get("horizon", 365)
+        kwargs["overlap"] = cf_solving.get("overlap", 0)
+        n.optimize.optimize_with_rolling_horizon(**kwargs)
+        status, condition = "", ""
+    elif skip_iterations:
+        status, condition = n.optimize(**kwargs)
     else:
+        kwargs["track_iterations"] = (cf_solving.get("track_iterations", False),)
+        kwargs["min_iterations"] = (cf_solving.get("min_iterations", 4),)
+        kwargs["max_iterations"] = (cf_solving.get("max_iterations", 6),)
         status, condition = n.optimize.optimize_transmission_expansion_iteratively(
-            solver_name=solver_name,
-            track_iterations=track_iterations,
-            min_iterations=min_iterations,
-            max_iterations=max_iterations,
-            linearized_unit_commitment=linearized_unit_commitment,
-            transmission_losses=transmission_losses,
-            extra_functionality=extra_functionality,
-            **solver_options,
-            **kwargs,
+            **kwargs
         )
 
-    if status != "ok":
+    if status != "ok" and not rolling_horizon:
         logger.warning(
             f"Solving status '{status}' with termination condition '{condition}'"
         )