Research Article
A Quasioppositional-Chaotic Symbiotic Organisms Search Algorithm for Distribution Network Reconfiguration with Distributed Generations
Table 2
Optimal configuration obtained by QOCSOS and other techniques for Case 1 of the 33-bus RDN.
| Method | Opened switches | PL (kW) | RI (%) | PLR (%) | Vmin (p.u.) |
| Base case | 33-34-35-36-37 | 202.68 | | — | 0.9131 | RGA [7] | 7-9-14-32-37 | 139.55 | −0.0009 | 31.15 | 0.9378 | ITS [31] | 7-9-14-36-37 | 142.17 | +1.8419 | 29.86 | 0.9336 | HSA [31] | 7-10-14-28-36 | 142.43 | +2.0211 | 29.73 | 0.9377 | ACSA [19] | 7-9-14-28-32 | 139.9823 | +0.3079 | 30.94 | 0.9412 | FWA [14] | 7-9-14-28-32 | 139.9823 | +0.3079 | 30.94 | 0.9412 | ICSA [13] | 7-9-14-32-37 | 139.55 | −0.0009 | 31.14 | 0.9378 | SSA [21] | 7-9-14-32-37 | 139.55 | −0.0009 | 31.14 | 0.9378 | SFS [16] | 7-9-14-32-37 | 139.55 | −0.0009 | 31.14 | 0.9378 | SOS | 7-9-14-32-37 | 139.5513 | 0.0000 | 31.14 | 0.9378 | QOCSOS | 7-9-14-32-37 | 139.5513 | | 31.14 | 0.9378 |
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