Add timelimit

scripts/baseline_optimizazion.py

@@ -21,8 +21,8 @@
 TURBINE_FACTORS = {0.75, 0.90, 1.0}
 SIMULATION_SETTING = {
     "1": {"quantile": 0, "buffer": 0.2, "powered_volume_enabled": True, "with_penalty": True},
-    "2": {"quantile": 15, "buffer": 0.3, "powered_volume_enabled": True, "with_penalty": True},
-    "3": {"quantile": 15, "buffer": 0.3, "powered_volume_enabled": False, "with_penalty": True},
+    "2": {"quantile": 0.15, "buffer": 0.3, "powered_volume_enabled": True, "with_penalty": True},
+    "3": {"quantile": 0.15, "buffer": 0.3, "powered_volume_enabled": False, "with_penalty": True},
     "4": {"quantile": 0, "buffer": 0.2, "powered_volume_enabled": True, "with_penalty": False},
 }
 output_file_names: dict[str, str] = json.load(open(settings.OUTPUT_FILE_NAMES))
@@ -69,7 +69,8 @@
                 baseline_second_stage = BaselineSecondStage(
                     input_instance=baseline_input, 
                     first_stage=baseline_first_stage, 
-                    timestep=timedelta(days=2), 
+                    timestep=timedelta(days=5), 
+                    time_limit=20,
                     **sim_setting
                 )
                 baseline_second_stage.solve_model()

src/pyomo_models/baseline/second_stage/second_stage_pipeline.py

@@ -363,11 +363,16 @@ def solve_model(self):
             self.generate_state_index()
             self.generate_model_instance()
             solution = self.solver.solve(self.model_instance, tee=self.log_solver_info)
-            if solution["Solver"][0]["Status"] != "ok":
+            if solution["Solver"][0]["Status"] == "ok":
+                self.extract_result()
+            elif solution["Solver"][0]["Status"] == "aborted":
+                print(f"Lower bound {solution["Problem"][0]["Lower bound"]} Lower bound {solution["Problem"][0]["Upper bound"]}")
+                self.extract_result()
+            else:
+                print(solution["Solver"][0]["Status"])
                 self.infeasible_constraints = check_infeasible_constraints(model=self.model_instance)
                 break
-            else:
-                self.extract_result()
+
         self.finalizes_results_processing()