Research Article
Optimal Dispatch of Reactive Power Using Modified Stochastic Fractal Search Algorithm
Table 8
Comparison of results obtained from IEEE 118-bus system with power loss optimization.
| Method | Min. | Aver. | Max. | Std. dev. | CPU time (s) | MaxIter | Npop | Nspi | ImLe (%) |
| CLPSO[27] | 130.96 | - | - | - | - | 200 | 120 | 120 | +0.12 | PSO[27] | 131.99 | - | - | - | - | 200 | 120 | 120 | +0.13 | PSO-TVIW[28] | 116.8976 | 118.2344 | 126.6222 | 1.6009 | 109.645 | 200 | 40 | 40 | +0.02 | PSO-TVAC[28] | 124.3335 | 129.7494 | 134.1254 | 2.156 | 96.32 | 200 | 40 | 40 | +0.08 | SPSO-TVAC[28] | 116.2026 | 117.3553 | 118.139 | 0.4696 | 96.45 | 200 | 40 | 40 | +0.01 | PSO-CF[28] | 115.6469 | 116.9863 | 119.8378 | 0.8655 | 95.86 | 200 | 40 | 40 | +0.01 | PGS-PSO[28] | 116.6075 | 119.3968 | 127.0772 | 2.107 | 96.11 | 200 | 40 | 40 | +0.02 | SWT-PSO[28] | 124.1476 | 129.371 | 141.6147 | 3.309 | 91.58 | 200 | 40 | 40 | +0.08 | PGSWTPSO [28] | 119.427 | 122.781 | 125.762 | 1.2455 | 95.17 | 200 | 40 | 40 | +0.04 | IPGS-PSO[28] | 115.06 | 116.462 | 118.35 | 0.528 | 91.07 | 200 | 40 | 40 | +0.004 | QOTLBO[36] | 112.2789 | 113.7693 | 115.4516 | 0.0244 | - | 100 | 50 | 100 | -0.02 | TLBO[36] | 116.4003 | 118.4427 | 121.3902 | 0.0482 | - | 100 | 50 | 100 | +0.02 | SARCGA[65] | 113.12 | 113.968 | - | 0.0002 | - | 300 | 15 | 15 | -0.01 | HEP[65] | 115.58 | 115.8 | - | 0.0018 | - | 300 | 15 | 15 | +0.01 | MFOT[46] | 116.4254 | 123.9207 | 135.96 | - | - | 1,000 | 30 | 30 | +0.02 | MSFS | 114.6251 | 115.4278 | 116.6677 | 0.4678 | 63.7 | 200 | 15 | 45 | 0 |
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