Research Article
Optimal Dispatch of Reactive Power Using Modified Stochastic Fractal Search Algorithm
Table 7
Comparison of results obtained from IEEE 30-bus system with voltage stabilization index optimization.
| Method | Min. | Aver. | Max. | Std. dev. | CPU time (s) | MaxIter | Npop | Nspi | ImLe (%) |
| EGA [17] | 0.1246 | - | - | - | - | 100 | 50 | 50 | +0.16 | DE [20] | 0.1246 | - | - | - | - | 500 | 50 | 50 | +0.16 | PSO-TVIW [28] | 0.1258 | 0.127 | 0.1289 | 0.0008 | 14.42 | 200 | 20 | 20 | +1.11 | PSO-TVAC [28] | 0.1499 | 0.1513 | 0.1544 | 0.0009 | 14.53 | 200 | 20 | 20 | +17.01 | SPSO-TVAC [28] | 0.1271 | 0.1285 | 0.1297 | 0.0006 | 14.05 | 200 | 20 | 20 | +2.12 | PSO-CF [28] | 0.1261 | 0.1279 | 0.1295 | 0.0008 | 14.39 | 200 | 20 | 20 | +1.35 | PGS-PSO [28] | 0.1264 | 0.1297 | 0.1313 | 0.0008 | 14.84 | 200 | 20 | 20 | +1.58 | SWT-PSO [28] | 0.1488 | 0.1634 | 0.1806 | 0.0074 | 18.99 | 200 | 20 | 20 | +16.40 | PGSWT-PSO [28] | 0.1394 | 0.1537 | 0.1749 | 0.0081 | 19.107 | 200 | 20 | 20 | +10.76 | IPGS-PSO [28] | 0.1241 | 0.1266 | 0.1298 | 0.001 | 13.75 | 200 | 20 | 20 | -0.24 | GSA [32] | 0.1161 | - | - | - | - | 200 | 100 | 100 | -7.15 | QOTLBO [36] | 0.1242 | 0.1245 | 0.1247 | 0.0452 | - | 100 | 50 | 100 | -0.16 | TLBO [36] | 0.1252 | 0.1254 | 0.1258 | 0.0454 | - | 100 | 50 | 100 | +0.64 | BA [45] | 0.1191 | - | - | - | 94.65 | 100 | 40 | 80 | -4.45 | GWO [45] | 0.118 | - | - | - | 104.29 | 100 | 40 | 40 | -5.42 | ABC [45] | 0.1161 | - | - | - | 105.04 | 100 | 40 | 40 | -7.15 | ALO [45] | 0.1161 | - | - | - | 97.92 | 100 | 40 | 40 | -7.15 | SSO [64] | 0.12738 | 0.1338 | 0.1446 | 0.00384 | 5.6 | 50 | 25 | ~30 | +2.34 | ISSO [64] | 0.12466 | 0.1253 | 0.1271 | 0.0004 | 4.9 | 50 | 25 | ~30 | +0.37 | MSFS | 0.1244 | 0.1267 | 0.1389 | 0.0016 | 3.1 | 50 | 10 | 30 | 0 | 0.1242 | 0.1257 | 0.1314 | 0.0007 | 7.5 | 130 | 10 | 30 | - |
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