UnitCommitment_Trajectory / test /test_instance_modification.jl
EridanusQ
init
43c68a3
using UnitCommitment
using HiGHS
import JuMP
CASES =[
("testdata/case2383wp/2017-07-27.json.gz", "case2383wp"),
# ("testdata/case2736sp/2017-07-21.json.gz", "case2736sp")
]
function build_and_solve(instance, use_traj)
formulation = use_traj ?
UnitCommitment.Formulation(
power_trajectories = UnitCommitment.ArrCon2004.PowerTrajectories()
) :
UnitCommitment.Formulation()
model = UnitCommitment.build_model(
instance = instance,
optimizer = HiGHS.Optimizer,
formulation = formulation,
)
JuMP.set_silent(model)
JuMP.optimize!(model)
return model
end
function get_actual_power(model, g, t, T, prev_p)
uname = g.name
UD = length(g.startup_curve)
DD = length(g.shutdown_curve)
startup_curve = g.startup_curve
shutdown_curve = g.shutdown_curve
Pmin = g.min_power[t]
Pmax = g.max_power[t]
RU = g.ramp_up_limit
v = round(JuMP.value(model[:is_on][uname, t]))
y = round(JuMP.value(model[:switch_on][uname, t]))
pa = JuMP.value(model[:prod_above]["s1", uname, t])
in_su = UD > 0 && any(
round(JuMP.value(model[:switch_on][uname, t-i+1])) == 1.0
for i in 1:UD if t-i+1 >= 1)
in_sd = DD > 0 && any(
round(JuMP.value(model[:switch_off][uname, t+i])) == 1.0
for i in 1:DD if t+i <= T)
p = 0.0
if in_su
for i in 1:UD
if t-i+1 >= 1 && round(JuMP.value(model[:switch_on][uname, t-i+1])) == 1.0
p = startup_curve[i]; break
end
end
elseif in_sd
for i in 1:DD
if t+i <= T && round(JuMP.value(model[:switch_off][uname, t+i])) == 1.0
p = shutdown_curve[DD-i+1]; break
end
end
elseif v > 0.5
p = pa + Pmin
end
status = if v == 0.0; "Offline"
elseif y == 1.0; "Startup_t1"
elseif in_su; "Startup_traj"
elseif in_sd; "Shutdown_traj"
else "Normal"
end
# 计算上下界 (ub, lb)
sum_y = sum(round(JuMP.value(model[:switch_on][uname, t-i+1])) for i in 1:UD if t-i+1 >= 1; init=0.0)
sum_z = DD > 0 ? sum(round(JuMP.value(model[:switch_off][uname, t+i])) for i in 1:DD if t+i <= T; init=0.0) : 0.0
ramp_ub = if t == 1
g.initial_power + RU
elseif sum_y > 0
Pmax
else
prev_p + RU
end
if v == 0.0 || (UD == 0 && DD == 0)
ub_val = ""
lb_val = ""
else
su_sum = sum(startup_curve[i] * round(JuMP.value(model[:switch_on][uname, t-i+1]))
for i in 1:UD if t-i+1 >= 1; init=0.0)
sd_sum = DD > 0 ? sum(shutdown_curve[i] * round(JuMP.value(model[:switch_off][uname, t+DD-i+1]))
for i in 1:DD if t+DD-i+1 >= 1 && t+DD-i+1 <= T; init=0.0) : 0.0
ub_val = min(su_sum + Pmax*(v-sum_y), sd_sum + Pmax*(v-sum_z), ramp_ub)
lb_val = max(Pmin*(v-sum_z-sum_y)+su_sum, Pmin*(v-sum_z-sum_y)+sd_sum)
end
return p, status, ub_val, lb_val
end
function export_combined_csv(
model_base, model_v1, model_v2,
instance_orig, instance_v1, instance_v2,
run_name, out_dir
)
sc_orig = instance_orig.scenarios[1]
sc_v1 = instance_v1.scenarios[1]
sc_v2 = instance_v2.scenarios[1]
T = instance_orig.time
unit_map_v1 = Dict(g.name => g for g in sc_v1.thermal_units)
unit_map_v2 = Dict(g.name => g for g in sc_v2.thermal_units)
rows = String[]
push!(rows,
"run_name,case,unit,t," *
"p_base,p_v1,p_v2," *
"ub_v1,lb_v1,ub_v2,lb_v2," *
"status_v1,status_v2," *
"pmin,pmax,startup_limit,shutdown_limit,UD,DD," *
"has_startup_v1,has_shutdown_v1,has_startup_v2,has_shutdown_v2," *
"min_uptime_orig,min_uptime_v2,has_curve"
)
case_name = split(run_name, "-")[1]
for g_orig in sc_orig.thermal_units
uname = g_orig.name
g_v1 = unit_map_v1[uname]
g_v2 = unit_map_v2[uname]
has_curve = !isempty(g_v1.startup_curve)
UD = length(g_v1.startup_curve)
DD = length(g_v1.shutdown_curve)
startup_limit = g_v1.startup_limit
shutdown_limit = g_v1.shutdown_limit
min_uptime_orig = g_orig.min_uptime
min_uptime_v2 = g_v2.min_uptime
# 判断整个周期内是否有真实启动/停机行为
su_v1 = has_curve && any(round(JuMP.value(model_v1[:switch_on][uname, t])) == 1.0 for t in 1:T)
sd_v1 = has_curve && any(round(JuMP.value(model_v1[:switch_off][uname, t])) == 1.0 for t in 1:T)
su_v2 = has_curve && any(round(JuMP.value(model_v2[:switch_on][uname, t])) == 1.0 for t in 1:T)
sd_v2 = has_curve && any(round(JuMP.value(model_v2[:switch_off][uname, t])) == 1.0 for t in 1:T)
prev_p_v1 = 0.0
prev_p_v2 = 0.0
for t in 1:T
Pmin = g_orig.min_power[t]
Pmax = g_orig.max_power[t]
# base model
pa0 = JuMP.value(model_base[:prod_above]["s1", uname, t])
v0 = round(JuMP.value(model_base[:is_on][uname, t]))
p_base = pa0 + Pmin * v0
# v1 model
p_v1, status_v1, ub_v1, lb_v1 = get_actual_power(model_v1, g_v1, t, T, prev_p_v1)
prev_p_v1 = p_v1
# v2 model
p_v2, status_v2, ub_v2, lb_v2 = get_actual_power(model_v2, g_v2, t, T, prev_p_v2)
prev_p_v2 = p_v2
push!(rows,
"$run_name,$case_name,$uname,$t," *
"$(round(p_base,digits=4)),$(round(p_v1,digits=4)),$(round(p_v2,digits=4))," *
"$ub_v1,$lb_v1,$ub_v2,$lb_v2," *
"$status_v1,$status_v2," *
"$(round(Pmin,digits=4)),$(round(Pmax,digits=4))," *
"$(round(startup_limit,digits=4)),$(round(shutdown_limit,digits=4))," *
"$UD,$DD,$su_v1,$sd_v1,$su_v2,$sd_v2," *
"$min_uptime_orig,$min_uptime_v2,$has_curve"
)
end
end
fname = joinpath(out_dir, "$(run_name)_combined.csv")
open(fname, "w") do f
for row in rows
println(f, row)
end
end
println(" Saved: $fname")
# ---------- 物理合理性验证统计输出 ----------
total_curves = 0
v1_su_count, v1_sd_count = 0, 0
v2_su_count, v2_sd_count = 0, 0
for g_v1 in sc_v1.thermal_units
uname = g_v1.name
if !isempty(g_v1.startup_curve)
total_curves += 1
if any(round(JuMP.value(model_v1[:switch_on][uname, t])) == 1.0 for t in 1:T) v1_su_count += 1 end
if any(round(JuMP.value(model_v1[:switch_off][uname, t])) == 1.0 for t in 1:T) v1_sd_count += 1 end
if any(round(JuMP.value(model_v2[:switch_on][uname, t])) == 1.0 for t in 1:T) v2_su_count += 1 end
if any(round(JuMP.value(model_v2[:switch_off][uname, t])) == 1.0 for t in 1:T) v2_sd_count += 1 end
end
end
println("\n [物理合理性验证] 启停轨迹激活统计:")
println(" 配置了曲线的机组总数: $total_curves")
println(" v1 发生实际启动: $(v1_su_count)/$total_curves | 发生实际停机: $(v1_sd_count)/$total_curves")
println(" v2 发生实际启动: $(v2_su_count)/$total_curves | 发生实际停机: $(v2_sd_count)/$total_curves")
if total_curves > 0 && v1_su_count == 0 && v2_su_count == 0
println(" 警告: 即使添加了曲线,也没有任何相关机组发生真实启动/停机。")
end
end
function export_summary_csv(results, run_name, case_name, out_dir)
fname = joinpath(out_dir, "$(run_name)_summary.csv")
open(fname, "w") do f
println(f, "case,model,objective,lower_bound,mip_gap_actual,solve_time,diff_pct")
for (tag, obj, lb, gap, stime, diff) in results
println(f, "$case_name,$tag,$(round(obj,digits=4)),$(round(lb,digits=4)),$(round(gap,digits=6)),$(round(stime,digits=4)),$(round(diff,digits=6))")
end
end
println(" Saved: $fname")
end
println("="^60)
# 定义主输出文件夹
master_dir = "test"
mkpath(master_dir)
println(">> 开始测试")
for (json_path, case_name) in CASES
# 提取日期,例如:2017-01-01(现在是从 .json 文件中提取)
date_str = split(basename(json_path), ".")[1]
# 拼接统一前缀名称:case2383wp-2017-01-01
run_name = "$(case_name)-$(date_str)"
# 输出存放在 master_dir 下
out_dir = joinpath(master_dir, run_name)
mkpath(out_dir)
println("\n[Run: $run_name]")
# 读取原始instance → 求解base model
instance_orig = UnitCommitment.read(json_path)
println(" [1/4] 求解 base model...")
model_base = build_and_solve(instance_orig, false)
obj_base = JuMP.objective_value(model_base)
lb_base = JuMP.objective_bound(model_base)
time_base = JuMP.solve_time(model_base)
gap_base = abs(obj_base - lb_base) / max(1e-10, abs(obj_base))
println(" base obj: $(round(obj_base, digits=2)) | gap: $(round(gap_base*100, digits=4))% | solver_time: $(round(time_base, digits=2))s")
println("\n[2/4] Part 1 - 添加 startup/shutdown curve...")
json_v1_path = UnitCommitment.add_trajectory_curves_to_source_data(
json_path;
top_pct = 0.10,
output_path = joinpath(out_dir, "$(run_name)-part1.json"),
)
instance_v1 = UnitCommitment.read(json_v1_path)
println(" 求解 traj_v1 model...")
model_v1 = build_and_solve(instance_v1, true)
obj_v1 = JuMP.objective_value(model_v1)
lb_v1 = JuMP.objective_bound(model_v1)
time_v1 = JuMP.solve_time(model_v1)
gap_v1 = abs(obj_v1 - lb_v1) / max(1e-10, abs(obj_v1))
diff_v1 = (obj_v1 - obj_base) / obj_base * 100
println(" v1 obj: $(round(obj_v1, digits=2)) diff=$(round(diff_v1, digits=4))% | gap: $(round(gap_v1*100, digits=4))% | solver_time: $(round(time_v1, digits=2))s")
println("\n [3/4] Part 2 - 修改 Minimum uptime...")
json_v2_path = UnitCommitment.modify_min_uptime_in_source_data(
json_v1_path;
output_path = joinpath(out_dir, "$(run_name)-part2.json"),
)
instance_v2 = UnitCommitment.read(json_v2_path)
println(" 求解 traj_v2 model...")
model_v2 = build_and_solve(instance_v2, true)
obj_v2 = JuMP.objective_value(model_v2)
lb_v2 = JuMP.objective_bound(model_v2)
time_v2 = JuMP.solve_time(model_v2)
gap_v2 = abs(obj_v2 - lb_v2) / max(1e-10, abs(obj_v2))
diff_v2 = (obj_v2 - obj_base) / obj_base * 100
println(" v2 obj: $(round(obj_v2, digits=2)) diff=$(round(diff_v2, digits=4))% | gap: $(round(gap_v2*100, digits=4))% | solver_time: $(round(time_v2, digits=2))s")
println("\n ── 目标值汇总 " * "─"^30)
println(" base : obj=$(round(obj_base, digits=2)), gap=$(round(gap_base*100, digits=4))%, solver_time=$(round(time_base, digits=2))s")
println(" v1 : obj=$(round(obj_v1, digits=2)), diff=$(round(diff_v1, digits=4))%, gap=$(round(gap_v1*100, digits=4))%, solver_time=$(round(time_v1, digits=2))s")
println(" v2 : obj=$(round(obj_v2, digits=2)), diff=$(round(diff_v2, digits=4))%, gap=$(round(gap_v2*100, digits=4))%, solver_time=$(round(time_v2, digits=2))s")
println("\n[4/4] 导出 CSV...")
export_combined_csv(
model_base, model_v1, model_v2,
instance_orig, instance_v1, instance_v2,
run_name, out_dir
)
results_to_export =[
("base", obj_base, lb_base, gap_base, time_base, 0.0),
("v1", obj_v1, lb_v1, gap_v1, time_v1, diff_v1),
("v2", obj_v2, lb_v2, gap_v2, time_v2, diff_v2)
]
export_summary_csv(results_to_export, run_name, case_name, out_dir)
end
println("\n" * "="^60)
println("测试完成")