Research Article
A Quasioppositional-Chaotic Symbiotic Organisms Search Algorithm for Distribution Network Reconfiguration with Distributed Generations
Table 3
Optimal DG placement results obtained by QOCSOS and other techniques for Case 2 of 33-bus RDN.
| Method | PDG (MW)/(bus) | PL (kW) | RI (%) | PLR (%) | Vmin (p.u.) |
| ACSA [19] | 0.7798/(14); 1.1251/(24); 1.3496/(30) | 74.26 | +3.7743 | 63.26 | 0.9778 | FWA [14] | 0.5897/(14); 0.1895/(18); 1.0146/(32) | 88.68 | +19.4213 | 56.24 | 0.9680 | HSA [2] | 0.1070/(18); 0.5724/(17); 1.0462/(33) | 96.76 | +26.1501 | 52.26 | 0.9670 | SSA [21] | – | 71.45 | −0.0101 | 64.74 | 0.9687 | SFS [16] | 0.7540/(14); 1.0994/(24); 1.0714/(30) | 71.47 | +0.0179 | 64.74 | 0.9687 | SOS | 0.7539/(14); 1.0994/(24); 1.0717/(30) | 71.4572 | 0.0000 | 64.74 | 0.9687 | QOCSOS | 0.7540/(14); 1.0994/(24); 1.0714/(30) | 71.4572 | | 64.74 | 0.9687 |
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