diff --git a/AgentPPO/actor.pth b/AgentPPO/actor.pth
index 857688d..aa3238d 100644
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diff --git a/AgentPPO/loss_data.pkl b/AgentPPO/loss_data.pkl
index a019fe1..0a336c8 100644
Binary files a/AgentPPO/loss_data.pkl and b/AgentPPO/loss_data.pkl differ
diff --git a/AgentPPO/reward_data.pkl b/AgentPPO/reward_data.pkl
index d420577..2e333f7 100644
Binary files a/AgentPPO/reward_data.pkl and b/AgentPPO/reward_data.pkl differ
diff --git a/AgentPPO/test_data.pkl b/AgentPPO/test_data.pkl
index 5148691..1dfc983 100644
Binary files a/AgentPPO/test_data.pkl and b/AgentPPO/test_data.pkl differ
diff --git a/tools.py b/tools.py
index e18d793..824e9c7 100644
--- a/tools.py
+++ b/tools.py
@@ -46,39 +46,38 @@ def optimization_base_result(env, month, day, initial_soc):
 
     m = gp.Model("UC")
 
-    # set system variables
+    # 设置系统变量
     on_off = m.addVars(NUM_GEN, period, vtype=GRB.BINARY, name='on_off')
     gen_output = m.addVars(NUM_GEN, period, vtype=GRB.CONTINUOUS, name='output')
-    # set constrains for charge/discharge
+    pv = m.addVars(period, vtype=GRB.CONTINUOUS, lb=0, name='pv')
+    # 设置充放电约束
     battery_energy_change = m.addVars(period, vtype=GRB.CONTINUOUS, lb=env.battery.max_discharge,
                                       ub=env.battery.max_charge, name='battery_action')
-    # set constrains for exchange between external grid and distributed energy system
+    # 设置外部电网与能源系统交换约束
     grid_energy_import = m.addVars(period, vtype=GRB.CONTINUOUS, lb=0, ub=env.grid.exchange_ability, name='import')
     grid_energy_export = m.addVars(period, vtype=GRB.CONTINUOUS, lb=0, ub=env.grid.exchange_ability, name='export')
     soc = m.addVars(period, vtype=GRB.CONTINUOUS, lb=0.2, ub=0.8, name='SOC')
 
-    # 1. add balance constrain
+    # 1. 添加平衡约束
     m.addConstrs(((sum(gen_output[g, t] for g in range(NUM_GEN)) + pv[t] + wind[t] + grid_energy_import[t] >= load[t] +
                    battery_energy_change[t] + grid_energy_export[t]) for t in range(period)), name='powerbalance')
-    # 2. add constrain for pmax pmin
+    # 2. 添加发电机最大/最小功率约束
     m.addConstrs((gen_output[g, t] <= on_off[g, t] * p_max[g] for g in range(NUM_GEN) for t in range(period)),
                  'gen_output_max')
     m.addConstrs((gen_output[g, t] >= on_off[g, t] * p_min[g] for g in range(NUM_GEN) for t in range(period)),
                  'gen_output_min')
-    # 3. add constrain for ramping up ramping down
+    # 3. 添加上升和下降约束
     m.addConstrs((gen_output[g, t + 1] - gen_output[g, t] <= ramping_up[g] for g in range(NUM_GEN)
                   for t in range(period - 1)), 'ramping_up')
     m.addConstrs((gen_output[g, t] - gen_output[g, t + 1] <= ramping_down[g] for g in range(NUM_GEN)
                   for t in range(period - 1)), 'ramping_down')
-    # 4. add constrains for SOC
+    # 4. 添加电池容量约束
     m.addConstr(battery_capacity * soc[0] == battery_capacity * initial_soc +
                 (battery_energy_change[0] * battery_efficiency), name='soc0')
     m.addConstrs((battery_capacity * soc[t] == battery_capacity * soc[t - 1] +
                   (battery_energy_change[t] * battery_efficiency) for t in range(1, period)), name='soc update')
-    # 5. add constrain for pv output
-    m.addConstrs((pv[t] >= 0 for t in range(period)), name='pv_output_min')
-    # set cost function
-    # 1 cost of generator
+    # 设置成本函数
+    # 发电机成本
     cost_gen = gp.quicksum(
         (a_para[g] * gen_output[g, t] * gen_output[g, t] + b_para[g] * gen_output[g, t] + c_para[g] * on_off[g, t]) for
         t in range(period) for g in range(NUM_GEN))