Optimal Dispatch of Reactive Power Using Modified Stochastic Fractal Search Algorithm

Table 6

Comparison of results obtained from IEEE 30-bus system with voltage deviation optimization.

Method	Min.	Aver.	Max.	Std. dev.	CPU time (s)	MaxIter	Npop	Nspi	ImLe (%)
EGA[17]	0.0911	-	-	-	-	100	50	50	+4.06
DE[20]	0.0911	-	-	-	-	500	150	150	+4.06
MDE[21]	0.0882	-	-	-	-	1500	15	15	+0.91
PSO-TVIW[28]	0.1038	0.1597	0.5791	0.1112	12.25	200	20	20	+15.80
PSO-TVAC[28]	0.2064	0.2376	0.5796	0.0153	12.88	200	20	20	+57.66
SPSO-TVAC[28]	0.1354	0.1558	0.1833	0.0103	12.59	200	20	20	+35.45
PSO-CF[28]	0.1287	0.1557	0.4041	0.0404	12.94	200	20	20	+32.09
PGS-PSO[28]	0.1202	0.144	0.2593	0.0222	12.45	200	20	20	+27.29
SWT-PSO[28]	0.1614	0.1814	0.2296	0.133	22.57	200	20	20	+45.85
PGSWT-PSO[28]	0.1539	0.2189	0.5532	0.0656	22.32	200	20	20	+43.21
IPGS-PSO[28]	0.0892	0.1078	0.2518	0.0298	9.724	200	20	20	+2.02
FAHCLPSO[30]	0.04315	0.04705	0.05081	0.004	-	100	-	-	-102.55
GSA[32]	0.0676	-	-	-	-	200	100	100	-29.29
GSA[34]	0.1065	-	-	-	-	200	-	-	+17.93
QOTLBO[36]	0.0856	0.0872	0.0907	0.0314	-	100	50	100	-2.10
TLBO[36]	0.0913	0.0934	0.0988	0.0403	-	100	50	100	+4.27
MFOT[46]	0.12154	0.132961	0.15612	-	-	-	-	-	+28.09
SSO [64]	0.19304	0.2863	0.42681	0.05357	5.3	50	25	~30	+54.724
ISSO [64]	0.08847	0.11603	0.14938	0.02277	4.6	50	25	~30	+1.209
MSFS	0.0874	0.1106	0.1306	0.012	6.3	100	10	30	0