Page 105 - Mathematical Models and Algorithms for Power System Optimization

New Algorithms Related to Power Flow 95

Table 4.5 Iteration results of different algorithms for case study 1—Cont’d
PQ Decoupled Optimal Multiplier
Iteration Number SA Method N-R Method Method Method

29 0.136827 30.351433
30 0.052871 30.351470
31 0.088922 30.351486
32 0.010957 30.351494
33 0.001423 30.351501
34 0.000133 30.352492
35 0.000014 30.352514
36 30.352523
37 30.352527
38 30.355403
39 30.355468
40 30.355516
41 30.355526
42 30.355912
43 30.355917
44 30.356041
45 30.356043
46 30.702784
47 30.716376
48 30.721623
49 30.723709
50 30.724557

Table 4.6 Iteration results of different algorithms for case study 2
PQ Decoupled Optimal Multiplier
Iteration Number SA Method N-R Method Method Method
0 110.919563 110.919563 207.888217 110.919563
1 170.788623 292.803494 96.608760 98.525243
2 98.461830 4749.794926 27.658470 66.843264
3 18.127275 567950.613160 36912.256932 43.116666
4 58.728716 1074296.454478 378625.194275 32.347055
5 26.195611 1202473.473347 12.905974
6 27.731655 1.350618
7 8.833099 9.156640
8 1.882653 8.595202
9 1.373997 0.814346
10 0.116296 9.035141
11 0.214595 10.186459
12 0.031148 1.230680
13 0.003738 12.416705
14 0.000266 15.912906
15 0.000023 9.789914
Continued