config: separate solver_options

solve_network: adjust code to new solver_options config

config.default.yaml

@@ -281,33 +281,86 @@ clustering:
       efficiency: mean
 
 solving:
+  #tmpdir: "path/to/tmp"
   options:
     formulation: kirchhoff
+    clip_p_max_pu: 1.e-2
     load_shedding: false
     noisy_costs: true
-    min_iterations: 4
-    max_iterations: 6
-    clip_p_max_pu: 0.01
     skip_iterations: true
     track_iterations: false
-    #nhours: 10
+    min_iterations: 4
+    max_iterations: 6
+    keep_shadowprices:
+      - Bus
+      - Line
+      - Link
+      - Transformer
+      - GlobalConstraint
+      - Generator
+      - Store
+      - StorageUnit
+
   solver:
     name: gurobi
+    options: gurobi-default
+
+  solver_options:
+    highs-default:
+      # refer to https://ergo-code.github.io/HiGHS/options/definitions.html#solver
+      threads: 4
+      solver: "ipm"
+      run_crossover: "off"
+      small_matrix_value: 1e-6
+      large_matrix_value: 1e9
+      primal_feasibility_tolerance: 1e-5
+      dual_feasibility_tolerance: 1e-5
+      ipm_optimality_tolerance: 1e-4
+      parallel: "on"
+      random_seed: 123
+    gurobi-default:
       threads: 4
       method: 2 # barrier
       crossover: 0
-    BarConvTol: 1.e-5
-    FeasibilityTol: 1.e-6
+      BarConvTol: 1.e-6
+      Seed: 123
       AggFill: 0
       PreDual: 0
       GURO_PAR_BARDENSETHRESH: 200
-  # solver:
-  #   name: cplex
-  #   threads: 4
-  #   lpmethod: 4 # barrier
-  #   solutiontype: 2 # non basic solution, ie no crossover
-  #   barrier.convergetol: 1.e-5
-  #   feasopt.tolerance: 1.e-6
+      seed: 10              # Consistent seed for all plattforms
+    gurobi-numeric-focus:
+      name: gurobi
+      NumericFocus: 3       # Favour numeric stability over speed
+      method: 2             # barrier
+      crossover: 0          # do not use crossover
+      BarHomogeneous: 1     # Use homogeneous barrier if standard does not converge
+      BarConvTol: 1.e-5
+      FeasibilityTol: 1.e-4
+      OptimalityTol: 1.e-4
+      ObjScale: -0.5
+      threads: 8
+      Seed: 123
+    gurobi-fallback:        # Use gurobi defaults
+      name: gurobi
+      crossover: 0
+      method: 2             # barrier
+      BarHomogeneous: 1     # Use homogeneous barrier if standard does not converge
+      BarConvTol: 1.e-5
+      FeasibilityTol: 1.e-5
+      OptimalityTol: 1.e-5
+      Seed: 123
+      threads: 8
+    cplex-default:
+      threads: 4
+      lpmethod: 4 # barrier
+      solutiontype: 2 # non basic solution, ie no crossover
+      barrier_convergetol: 1.e-5
+      feasopt_tolerance: 1.e-6
+
+    cbc-default: {} # Used in CI
+
+  mem: 30000 #memory in MB; 20 GB enough for 50+B+I+H2; 100 GB for 181+B+I+H2
+
 
 plotting:
   map:

scripts/solve_network.py

@@ -373,8 +373,9 @@ def extra_functionality(n, snapshots):
 
 
 def solve_network(n, config, opts="", **kwargs):
-    solver_options = config["solving"]["solver"].copy()
-    solver_name = solver_options.pop("name")
+    set_of_options = config['solving']['solver']['options']
+    solver_options = config['solving']["solver_options"][set_of_options] if set_of_options else {}
+    solver_name = config['solving']['solver']['name']
     cf_solving = config["solving"]["options"]
     track_iterations = cf_solving.get("track_iterations", False)
     min_iterations = cf_solving.get("min_iterations", 4)
@@ -411,7 +412,7 @@ if __name__ == "__main__":
         from _helpers import mock_snakemake
 
         snakemake = mock_snakemake(
-            "solve_network", simpl="", clusters="5", ll="copt", opts="Co2L-BAU-CCL-24H"
+            "solve_network", simpl="", clusters="5", ll="v1.5", opts=""
         )
     configure_logging(snakemake)
 
@@ -419,7 +420,7 @@ if __name__ == "__main__":
     if tmpdir is not None:
         Path(tmpdir).mkdir(parents=True, exist_ok=True)
     opts = snakemake.wildcards.opts.split("-")
-    solve_opts = snakemake.config["solving"]["options"]
+    solve_opts = snakemake.config['solving']['options']
 
     fn = getattr(snakemake.log, "memory", None)
     with memory_logger(filename=fn, interval=30.0) as mem: