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Optimal Power Flow on PGLearn 30-IEEE (test)
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0.25
Avg Constraint Violation Sij(+) (x10^-4 p.u.)
CNN
-7.26
43.4325
94.125
144.8175
Oct 8, 2025
Avg Constraint Violation Sij(+) (x10^-4 p.u.)
Avg Constraint Violation Sji(-) (x10^-4 p.u.)
Avg Constraint Violation Pb (x10^-4 p.u.)
Avg Constraint Violation Qb (x10^-4 p.u.)
Max Constraint Violation Sij(+) (p.u.)
Max Constraint Violation Sji(-) (p.u.)
Max Constraint Violation Pb (p.u.)
Max Constraint Violation Qb (p.u.)
Optimality Gap (%)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Avg Constraint Violation Sij(+) (x10^-4 p.u.)
Avg Constraint Violation Sji(-) (x10^-4 p.u.)
Avg Constraint Violation Pb (x10^-4 p.u.)
Avg Constraint Violation Qb (x10^-4 p.u.)
Max Constraint Violation Sij(+) (p.u.)
Max Constraint Violation Sji(-) (p.u.)
Max Constraint Violation Pb (p.u.)
Max Constraint Violation Qb (p.u.)
Optimality Gap (%)
CNN
2025.10
0.25
0.07
0.04
1
0.08
0.06
0.38
0.18
0.01
FNN
2025.10
1
0
5
0.3
0.1
0.1
0.49
0.22
1.81
HH-MPNN
2025.10
3.44
0.3
0.36
2
0.09
0.06
0.63
0.27
0.14
GCN
2025.10
188
186
18
27
0.79
0.78
1.81
1.17
7.28
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