Break down model.jl

src/solution/methods/XaQiWaTh19/structs.jl

@@ -9,6 +9,8 @@ import DataStructures: PriorityQueue
         time_limit::Float64
         gap_limit::Float64
         two_phase_gap::Bool
+        max_violations_per_line::Int
+        max_violations_per_period::Int
     end
 
 Lazy constraint solution method described in:
@@ -17,8 +19,8 @@ Lazy constraint solution method described in:
     constraint filtering in large-scale security-constrained unit commitment. 
     IEEE Transactions on Power Systems, 34(3), 2457-2460.
 
-Fields
-=========
+## Fields
+
 - `time_limit`:
     the time limit over the entire optimization procedure.
 - `gap_limit`: 
@@ -26,6 +28,13 @@ Fields
 - `two_phase_gap`: 
     if true, solve the problem with large gap tolerance first, then reduce
     the gap tolerance when no further violated constraints are found.
+- `max_violations_per_line`:
+    maximum number of violated transmission constraints to add to the
+    formulation per transmission line.
+- `max_violations_per_period`:
+    maximum number of violated transmission constraints to add to the
+    formulation per time period.
+
 """
 struct _XaQiWaTh19
     time_limit::Float64
@@ -35,11 +44,11 @@ struct _XaQiWaTh19
     max_violations_per_period::Int
 
     function _XaQiWaTh19(;
-        time_limit::Float64,
-        gap_limit::Float64,
-        two_phase_gap::Bool,
-        max_violations_per_line::Int,
-        max_violations_per_period::Int,
+        time_limit::Float64 = 86400.0,
+        gap_limit::Float64 = 1e-3,
+        two_phase_gap::Bool = true,
+        max_violations_per_line::Int = 1,
+        max_violations_per_period::Int = 5,
     )
         return new(
             time_limit,