diff --git a/configurations/powergrid/benchmarks/l2rpn_idf_2023.ini b/configurations/powergrid/benchmarks/l2rpn_idf_2023.ini
index 7e079ecb..5c1220d0 100644
--- a/configurations/powergrid/benchmarks/l2rpn_idf_2023.ini
+++ b/configurations/powergrid/benchmarks/l2rpn_idf_2023.ini
@@ -277,6 +277,17 @@ eval_params = {
 				   "verify_theta": True}
 	}
 
+[DoNothing]
+attr_x = ("prod_p", "prod_v", "load_p", "load_q")
+attr_tau = ("line_status", "topo_vect")
+attr_y = ("a_or", "a_ex", "p_or", "p_ex", "q_or", "q_ex", "prod_q", "load_v", "v_or", "v_ex", "theta_or", "theta_ex")
+attr_physics = ("YBus", "SBus", "PV_nodes", "slack")
+dataset_create_params = {
+        "train": {},
+        "test": {},
+        "test_ood": {}
+    }
+
 [Benchmark_competition]
 attr_x = ("prod_p", "prod_v", "load_p", "load_q")
 attr_tau = ("line_status", "topo_vect")
diff --git a/configurations/powergrid/benchmarks/l2rpn_neurips_2020_track1_small.ini b/configurations/powergrid/benchmarks/l2rpn_neurips_2020_track1_small.ini
index a26710b3..8284fae8 100644
--- a/configurations/powergrid/benchmarks/l2rpn_neurips_2020_track1_small.ini
+++ b/configurations/powergrid/benchmarks/l2rpn_neurips_2020_track1_small.ini
@@ -290,6 +290,17 @@ eval_dict = {
 eval_params = {
 	"inf_batch_size": 59000} # #pas_de_temps=100 x #ligne=20 x #topo=7
 
+[DoNothing]
+attr_x = ("prod_p", "prod_v", "load_p", "load_q")
+attr_tau = ("line_status", "topo_vect")
+attr_y = ("a_or", "a_ex", "p_or", "p_ex", "q_or", "q_ex", "prod_q", "load_v", "v_or", "v_ex", "theta_or", "theta_ex")
+attr_physics = ("YBus", "SBus", "PV_nodes", "slack")
+dataset_create_params = {
+        "train": {},
+        "test": {},
+        "test_ood": {}
+    }
+
 [Benchmark_competition]
 attr_x = ("prod_p", "prod_v", "load_p", "load_q")
 attr_tau = ("line_status", "topo_vect")
diff --git a/configurations/powergrid/benchmarks/l2rpn_wcci_2022.ini b/configurations/powergrid/benchmarks/l2rpn_wcci_2022.ini
index 655bc86f..ae8af637 100644
--- a/configurations/powergrid/benchmarks/l2rpn_wcci_2022.ini
+++ b/configurations/powergrid/benchmarks/l2rpn_wcci_2022.ini
@@ -276,3 +276,14 @@ eval_params = {
 	"VOLTAGE_EQ": {"tolerance": 1e-4,
 				   "verify_theta": True}
 	}
+
+[DoNothing]
+attr_x = ("prod_p", "prod_v", "load_p", "load_q")
+attr_tau = ("line_status", "topo_vect")
+attr_y = ("a_or", "a_ex", "p_or", "p_ex", "q_or", "q_ex", "prod_q", "load_v", "v_or", "v_ex", "theta_or", "theta_ex")
+attr_physics = ("YBus", "SBus", "PV_nodes", "slack")
+dataset_create_params = {
+        "train": {},
+        "test": {},
+        "test_ood": {}
+    }
diff --git a/lips/dataset/powergridDataSet.py b/lips/dataset/powergridDataSet.py
index 932fe129..6c232afb 100644
--- a/lips/dataset/powergridDataSet.py
+++ b/lips/dataset/powergridDataSet.py
@@ -313,11 +313,13 @@ def _store_physics(self, current_size: int, obs, grid, is_lightSimBackend: bool,
             pv_nodes = np.zeros(shape=(n_bus_bars), dtype=bool)
 
             #get admittance matrix and injection vector values from LightSim2Grid
-            Sbus = grid.get_Sbus()
+            
             if is_dc:
                 YBus = grid.get_dcYbus()
+                Sbus = grid.get_dcSbus()
             else:
                 YBus = grid.get_Ybus()
+                Sbus = grid.get_Sbus()
 
             #fill data structures with expected dimensions
             admittance_matrix[np.ix_(unique_bus, unique_bus)] = YBus.todense()
diff --git a/lips/physical_simulator/grid2opSimulator.py b/lips/physical_simulator/grid2opSimulator.py
index 583d86b5..737deffa 100644
--- a/lips/physical_simulator/grid2opSimulator.py
+++ b/lips/physical_simulator/grid2opSimulator.py
@@ -79,6 +79,8 @@ def __init__(self,
         self._timer_solver = 0
         self._timer_preproc = 0
         self._timer_postproc = 0
+        
+        self.is_dc = self._simulator.parameters.ENV_DC
 
         try:
             from lightsim2grid import LightSimBackend
@@ -249,8 +251,9 @@ def _reset_simulator(self, fast_forward: bool = True):
             # exclude the already selected time stamps from which the scenario should started
             remaining_timesteps = set(np.arange(self._max_episode_duration)) - set(self._visited_ts)
             # randomly skip a given number of steps in the first day (to improve the randomness)
-            nb_ff = self._simulator.space_prng.choice(list(remaining_timesteps))
-            if nb_ff > 0:
+            if len(remaining_timesteps) > 0:
+                nb_ff = self._simulator.space_prng.choice(list(remaining_timesteps))
+            #if nb_ff > 0:
                 self._simulator.fast_forward_chronics(nb_ff)
                 self._obs = self._simulator.get_obs()
                 self._visited_ts.append(nb_ff)
@@ -338,7 +341,12 @@ def __any_isolated_nodes(self, env):
         """
         check = False
         grid = env.backend._grid
-        Sbus = grid.get_Sbus()
+        
+        if self.is_dc:
+            Sbus = grid.get_dcSbus()
+        else:
+            Sbus = grid.get_Sbus()
+            
         if len(Sbus) < env.n_sub:
             check = True
         return check