Optimal Dispatch of Reactive Power Using Modified Stochastic Fractal Search Algorithm

Table 5

Comparison of results obtained from IEEE 30-bus system with power loss optimization.

Method	Min.	Aver.	Max.	Std. dev.	CPU time (s)	MaxIter	Npop	Nspi	ImLe (%)
EGA[17]	4.55	-	-	-	-	100	50	50	+0.78
DE[20]	4.555	-	-	-	-	500	150	150	+0.89
MDE[21]	4.87359	-	-	-	-	1500	15	15	+7.37
PSO-TVIW[28]	4.8458	4.8761	5.2292	0.0562	8.762	200	20	20	+6.84
PSO-TVAC[28]	4.8449	4.8702	4.9655	0.0263	8.68	200	20	20	+6.82
SPSO-TVAC[28]	4.5262	4.5564	4.7716	0.0554	9.092	200	20	20	+0.26
PSO-CF[28]	4.5258	4.5711	4.999	0.0815	8.48	200	20	20	+0.25
PGS-PSO[28]	4.6425	4.732	4.7972	0.1124	8.216	200	20	20	+2.76
SWT-PSO[28]	4.6578	4.9413	5.2521	0.1221	7.995	200	20	20	+3.08
PGSWT-PSO[28]	4.7914	5.2349	6.0512	0.2131	7.912	200	20	20	+5.78
IPGS-PSO[28]	4.5256	4.5508	4.9493	0.0592	7.852	200	20	20	+0.25
FAHCLPSO[30]	4.4877	4.6811	4.8732	0.1935	-	-	-	-	-0.59
GSA[32]	4.51431	-	-	-	-	200	100	100	0.00
GSA[34]	4.616657	-	-	-	-	200	-	-	+2.22
QOTLBO[36]	4.5594	4.5601	4.5617	0.037	-	100	50	100	+0.99
TLBO[36]	4.5629	4.5695	4.5748	0.0564	-	100	50	100	+1.07
ALO[45]	4.59					100	-	-	+1.65
MFOT[46]	4.5128	-	-	-	-	300	30	30	-0.03
SSO [64]	4.86029	5.2259	5.5975	0.19162	4.7	50	25	~30	+7.119
ISSO [64]	4.51445	4.69215	4.52546	0.02799	4.5	50	25	~30	+0.037
MSFS	4.5143	5.0932	6.721	0.5259	3.2	50	10	30	0
	4.5128	4.6928	5.7126	0.2268	15.6	300	10	30	-