The
Although in many cases the use of linear approximations in power systems is sufficient, when trying to model possible cascading effects such models are not appropriate.
In this repository we explore several formulations to solve the problem.
Big M | Sol | Gap | time (ms) | N sols |
---|---|---|---|---|
0.95 | 2 | 0 | 35 | 3 |
0.9 | 3 | 0 | 39.7 | 2 |
0.85 | 4 | 0 | 59.6 | 3 |
0.8 | 4 | 0 | 66.9 | 3 |
0.75 | 5 | 0 | 79.3 | 4 |
0.7 | 6 | 0 | 80.5 | 3 |
lambda_i | Sol | Gap | time (ms) | N sols |
---|---|---|---|---|
0.95 | 2 | 0 | 88.2 | 3 |
0.9 | 3 | 0 | 70.9 | 3 |
0.85 | 4 | 0 | 121 | 4 |
0.8 | 4 | 0 | 92.5 | 4 |
0.75 | 5 | 0 | 105 | 5 |
0.7 | 6 | 0 | 160 | 3 |
NL | Sol | round | Term Code | time (ms) |
---|---|---|---|---|
0.95 | 2.96 | 3 | optimal | 55.2 |
0.9 | 4.82 | 5 | optimal | 62.1 |
0.85 | 4.86 | 5 | optimal | 83.2 |
0.8 | 4.91 | 5 | optimal | 102 |
0.75 | 8.93 | 9 | optimal | 360 |
0.7 | 9.93 | 10 | optimal | 98.0 |
Big M | Sol | Gap | time (s) | N sols |
---|---|---|---|---|
0.95 | 2 | 0 | 7.2 | 2 |
0.9 | 4 | 0 | 251 | 5 |
0.85 | 5 | 40% | 3600 | 4 |
0.8 | 7 | 57.14% | 3600 | 5 |
0.75 | 9 | 66.67% | 3600 | 5 |
0.7 | 11 | 72.72% | 3600 | 4 |
lambda_i | Sol | Gap | time (s) | N sols |
---|---|---|---|---|
0.95 | 2 | 0 | 20.2 | 3 |
0.9 | 4 | 0 | 209 | 3 |
0.85 | 5 | 40 % | 3600 | 8 |
0.8 | 7 | 57.14% | 3600 | 8 |
0.75 | 9 | 66.67% | 3600 | 8 |
0.7 | 12 | 66.67% | 3600 | 7 |
NL | Sol | round | Term Code | time (s) |
---|---|---|---|---|
0.95 | 3.77 | 4 | optimal | 1.04 |
0.9 | 3.97 | 4 | optimal | 1.13 |
0.85 | 6.91 | 7 | optimal | 1.21 |
0.8 | 11.3 | 11 | optimal | 1.16 |
0.75 | 14.9 | 15 | optimal | 1.2 |
0.7 | 16.23 | 16 | acceptable | 10.6 |