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.

MethodMin.Aver.Max.Std. dev.CPU time (s)MaxIterNpopNspiImLe (%)

CLPSO[27]130.96----200120120+0.12
PSO[27]131.99----200120120+0.13
PSO-TVIW[28]116.8976118.2344126.62221.6009109.6452004040+0.02
PSO-TVAC[28]124.3335129.7494134.12542.15696.322004040+0.08
SPSO-TVAC[28]116.2026117.3553118.1390.469696.452004040+0.01
PSO-CF[28]115.6469116.9863119.83780.865595.862004040+0.01
PGS-PSO[28]116.6075119.3968127.07722.10796.112004040+0.02
SWT-PSO[28]124.1476129.371141.61473.30991.582004040+0.08
PGSWTPSO [28]119.427122.781125.7621.245595.172004040+0.04
IPGS-PSO[28]115.06116.462118.350.52891.072004040+0.004
QOTLBO[36]112.2789113.7693115.45160.0244-10050100-0.02
TLBO[36]116.4003118.4427121.39020.0482-10050100+0.02
SARCGA[65]113.12113.968-0.0002-3001515-0.01
HEP[65]115.58115.8-0.0018-3001515+0.01
MFOT[46]116.4254123.9207135.96--1,0003030+0.02
MSFS114.6251115.4278116.66770.467863.720015450