diff --git a/vllm_ascend/ascend_config.py b/vllm_ascend/ascend_config.py
index 2f2de07..9efb37a 100644
--- a/vllm_ascend/ascend_config.py
+++ b/vllm_ascend/ascend_config.py
@@ -53,6 +53,7 @@ class AscendConfig:
 
         # Todo: Once https://github.com/vllm-project/vllm/issues/22246 is merged in vllm. Remove this config
         self.expert_map_path = additional_config.get("expert_map_path", None)
+        self.eplb_policy_type = additional_config.get("eplb_policy_type", 1)
         self.expert_map_record_path = additional_config.get(
             "expert_map_record_path",
             None)  # Provide path to export expert map
diff --git a/vllm_ascend/eplb/core/eplb_worker.py b/vllm_ascend/eplb/core/eplb_worker.py
index cd460f8..15dbbd0 100644
--- a/vllm_ascend/eplb/core/eplb_worker.py
+++ b/vllm_ascend/eplb/core/eplb_worker.py
@@ -73,8 +73,12 @@ class EplbWorker:
         new_expert_maps = self.local2global(new_placement)
         self.update_expert_map(new_expert_maps)
 
-        update_info = self.compose_expert_update_info_greedy(
-            new_expert_maps, self.old_expert_maps)
+        if self.policy_type == 2:
+            update_info = self.compose_expert_update_info_bipartite(
+                new_expert_maps, self.old_expert_maps)
+        else:
+            update_info = self.compose_expert_update_info_greedy(
+                new_expert_maps, self.old_expert_maps)
         self.old_expert_maps = new_expert_maps
         logger.info("EPLB Process compute complete")
 
diff --git a/vllm_ascend/worker/model_runner_v1.py b/vllm_ascend/worker/model_runner_v1.py
index cefad46..7bddae0 100644
--- a/vllm_ascend/worker/model_runner_v1.py
+++ b/vllm_ascend/worker/model_runner_v1.py
@@ -470,6 +470,7 @@ class NPUModelRunner(LoRAModelRunnerMixin):
         self.dynamic_eplb = self.ascend_config.dynamic_eplb
         if self.dynamic_eplb:
             self.is_eplb_warmuped = False
+            self.policy_type = self.ascend_config.eplb_policy_type
             self.eplb_loader = D2DExpertWeightLoader()
             self.manager = Manager()
             self.shared_dict = self.manager.dict({
@@ -478,7 +479,7 @@ class NPUModelRunner(LoRAModelRunnerMixin):
                 "expert_maps": None
             })
             self.eplb_process = EplbProcess(shared_dict=self.shared_dict,
-                                            policy_type=1,
+                                            policy_type=self.policy_type,
                                             enable_d2d=True)
             self.process = self.eplb_process._launch_process()
             ascend_config = get_ascend_config()