Updated randomize, validate and initial conditions

src/transform/initcond.jl

@@ -17,24 +17,29 @@ function generate_initial_conditions!(
 )::Nothing
     G = sc.thermal_units
     B = sc.buses
+    PU = sc.profiled_units
     t = 1
     mip = JuMP.Model(optimizer)
 
     # Decision variables
     @variable(mip, x[G], Bin)
     @variable(mip, p[G] >= 0)
+    @variable(mip, pu[PU])
 
     # Constraint: Minimum power
     @constraint(mip, min_power[g in G], p[g] >= g.min_power[t] * x[g])
+    @constraint(mip, pu_min_power[k in PU], pu[k] >= k.min_power[t])
 
     # Constraint: Maximum power
     @constraint(mip, max_power[g in G], p[g] <= g.max_power[t] * x[g])
+    @constraint(mip, pu_max_power[k in PU], pu[k] <= k.capacity[t])
 
     # Constraint: Production equals demand
     @constraint(
         mip,
         power_balance,
-        sum(b.load[t] for b in B) == sum(p[g] for g in G)
+        sum(b.load[t] for b in B) ==
+        sum(p[g] for g in G) + sum(pu[k] for k in PU)
     )
 
     # Constraint: Must run
@@ -58,7 +63,12 @@ function generate_initial_conditions!(
             return c / mw
         end
     end
-    @objective(mip, Min, sum(p[g] * cost_slope(g) for g in G))
+    @objective(
+        mip,
+        Min,
+        sum(p[g] * cost_slope(g) for g in G) +
+        sum(pu[k] * k.cost[t] for k in PU)
+    )
 
     JuMP.optimize!(mip)
 

src/transform/randomize/XavQiuAhm2021.jl

@@ -133,6 +133,10 @@ function _randomize_costs(
             s.cost *= α
         end
     end
+    for pu in sc.profiled_units
+        α = rand(rng, distribution)
+        pu.cost *= α
+    end
     return
 end
 

src/validation/validate.jl

@@ -305,6 +305,35 @@ function _validate_units(instance::UnitCommitmentInstance, solution; tol = 0.01)
                 end
             end
         end
+        for pu in sc.profiled_units
+            production = solution[sc.name]["Profiled production (MW)"][pu.name]
+
+            for t in 1:instance.time
+                # Unit must produce at least its minimum power
+                if production[t] < pu.min_power[t] - tol
+                    @error @sprintf(
+                        "Profiled unit %s produces below its minimum limit at time %d (%.2f < %.2f)",
+                        pu.name,
+                        t,
+                        production[t],
+                        pu.min_power[t]
+                    )
+                    err_count += 1
+                end
+
+                # Unit must produce at most its maximum power
+                if production[t] > pu.capacity[t] + tol
+                    @error @sprintf(
+                        "Profiled unit %s produces above its maximum limit at time %d (%.2f > %.2f)",
+                        pu.name,
+                        t,
+                        production[t],
+                        pu.capacity[t]
+                    )
+                    err_count += 1
+                end
+            end
+        end
     end
     return err_count
 end
@@ -316,16 +345,25 @@ function _validate_reserve_and_demand(instance, solution, tol = 0.01)
             load_curtail = 0
             fixed_load = sum(b.load[t] for b in sc.buses)
             ps_load = 0
+            production = 0
             if length(sc.price_sensitive_loads) > 0
                 ps_load = sum(
                     solution[sc.name]["Price-sensitive loads (MW)"][ps.name][t]
                     for ps in sc.price_sensitive_loads
                 )
             end
+            if length(sc.thermal_units) > 0
                 production = sum(
-                solution[sc.name]["Thermal production (MW)"][g.name][t] for
+                    solution[sc.name]["Thermal production (MW)"][g.name][t]
-                g in sc.thermal_units
+                    for g in sc.thermal_units
                 )
+            end
+            if length(sc.profiled_units) > 0
+                production += sum(
+                    solution[sc.name]["Profiled production (MW)"][pu.name][t]
+                    for pu in sc.profiled_units
+                )
+            end
             if "Load curtail (MW)" in keys(solution)
                 load_curtail = sum(
                     solution[sc.name]["Load curtail (MW)"][b.name][t] for

test/transform/randomize/XavQiuAhm2021_test.jl

@@ -62,4 +62,22 @@ test_approx(x, y) = @test isapprox(x, y, atol = 1e-3)
         @test round.(system_load(sc), digits = 1)[1:8] ≈
               [4854.7, 4849.2, 4732.7, 4848.2, 4948.4, 5231.1, 5874.8, 5934.8]
     end
+
+    @testset "profiled unit cost" begin
+        sc =
+            UnitCommitment.read("$FIXTURES/case14-profiled.json.gz").scenarios[1]
+        # Check original costs
+        pu1 = sc.profiled_units[1]
+        pu2 = sc.profiled_units[2]
+        test_approx(pu1.cost[1], 100.0)
+        test_approx(pu2.cost[1], 50.0)
+        randomize!(
+            sc,
+            XavQiuAhm2021.Randomization(randomize_load_profile = false),
+            rng = MersenneTwister(42),
+        )
+        # Check randomized costs
+        test_approx(pu1.cost[1], 98.039)
+        test_approx(pu2.cost[1], 48.385)
+    end
 end