A Firefly Algorithm and Elite Ant System-Trained Elman Neural Network for MPPT Algorithm of PV Array

Table 1

The results of five MPPT algorithms.

MPPT algorithm	Steady-state oscillation rate (%)			Power amplitude range (W)
	0 s~0.2 s	0.2 s~0.5 s	0.5 s~0.7 s	0 s~0.2 s	0.2 s~0.5 s	0.5 s~0.7 s
FA-EAS-ElmanNN	0.31	0.35	0.33	134.6~136.3	238.9~240.7	193.4~195.6
ACO-ANN	0.84	0.89	0.86	131.1~135.6	233.3~239.4	187.3~194.7
PSO-RBFNN	0.91	0.94	0.92	130.5~135.3	232.1~239.3	186.3~194.8
PSO	2.84	2.85	2.84	126.4~137.3	223.5~241.4	181.3~195.5
ACO	3.14	3.17	3.15	116.8~137.6	217.9~241.1	180.2~195.7
MPPT algorithm	Efficiency (%)			Tracking time (s)
	0 s~0.2 s	0.2 s~0.5 s	0.5 s~0.7 s	0 s~0.2 s	0.2 s~0.5 s	0.5 s~0.7 s
FA-EAS-ElmanNN	99.71	99.73	99.72	0.0011	0.0013	0.0011
ACO-ANN	99.13	99.24	99.19	0.0020	0.0022	0.0021
PSO-RBFNN	99.05	99.15	99.10	0.0027	0.0028	0.0027
PSO	98.39	98.53	98.44	0.0053	0.0056	0.0054
ACO	98.02	98.23	98.14	0.0057	0.0059	0.0057