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.

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

EGA [17]0.1246----1005050+0.16
DE [20]0.1246----5005050+0.16
PSO-TVIW [28]0.12580.1270.12890.000814.422002020+1.11
PSO-TVAC [28]0.14990.15130.15440.000914.532002020+17.01
SPSO-TVAC [28]0.12710.12850.12970.000614.052002020+2.12
PSO-CF [28]0.12610.12790.12950.000814.392002020+1.35
PGS-PSO [28]0.12640.12970.13130.000814.842002020+1.58
SWT-PSO [28]0.14880.16340.18060.007418.992002020+16.40
PGSWT-PSO [28]0.13940.15370.17490.008119.1072002020+10.76
IPGS-PSO [28]0.12410.12660.12980.00113.752002020-0.24
GSA [32]0.1161----200100100-7.15
QOTLBO [36]0.12420.12450.12470.0452-10050100-0.16
TLBO [36]0.12520.12540.12580.0454-10050100+0.64
BA [45]0.1191---94.651004080-4.45
GWO [45]0.118---104.291004040-5.42
ABC [45]0.1161---105.041004040-7.15
ALO [45]0.1161---97.921004040-7.15
SSO [64]0.127380.13380.14460.003845.65025~30+2.34
ISSO [64]0.124660.12530.12710.00044.95025~30+0.37
MSFS0.12440.12670.13890.00163.15010300
0.12420.12570.13140.00077.51301030-