A Hybrid Maximum Power Point Tracking Approach for Photovoltaic Systems under Partial Shading Conditions Using a Modified Genetic Algorithm and the Firefly Algorithm

Table 8

Simulation results of the tracking speed and tracking accuracy.

Pattern	Algorithm	Iterations		Time (s)		Error (%)
		Average	SD	Average	SD	Average	SD
Pattern number 1	GA	12.17	3.4	0.048	0.014	3.75	0.66
	FA	12.12	6.11	0.1	0.05	0.29	0.35
	Proposed method	3.31	0.76	0.02	0.004	0.17	0.14
Pattern number 2	GA	8.75	2.79	0.085	0.029	0.73	0.99
	FA	5.87	3.56	0.051	0.03	0.15	0.21
	Proposed method	3.45	0.83	0.022	0.009	0.1	0.23
Pattern number 3	GA	15.83	6.58	0.151	0.063	9.75	0.54
	FA	12.95	4.48	0.109	0.039	5.68	3.86
	Proposed method	4.95	0.9	0.025	0.008	1.02	1.51
Pattern number 4	GA	26.88	18.05	0.274	0.183	18.75	12.6
	FA	24.75	5.03	0.226	0.07	23.37	0.07
	Proposed method	19.77	20.03	0.095	0.072	0.76	1.05
Pattern number 5	GA	9.16	2.87	0.091	0.03	0.81	1.23
	FA	5.56	2.35	0.048	0.021	0.1	0.15
	Proposed method	3.46	0.81	0.024	0.009	0.08	0.12
Pattern number 6	GA	14.41	8.87	0.147	0.093	10.11	0.44
	FA	8.4	6.61	0.078	0.062	9.67	1.74
	Proposed method	5.61	2.06	0.027	0.008	1.19	1.83
Pattern number 7	GA	20.47	10.77	0.065	0.034	17.47	11.33
	FA	28.33	12.13	0.236	0.101	21.14	1.15
	Proposed method	19.55	13.78	0.061	0.035	0.73	1.34
Pattern number 8	GA	10.53	4.05	0.103	0.04	0.4	0.78
	FA	13.69	7.02	0.116	0.057	0.08	0.14
	Proposed method	5.12	1.85	0.025	0.006	0.37	0.49
Pattern number 9	GA	12.78	5.78	0.128	0.069	5.21	3.17
	FA	9.79	4.35	0.087	0.044	0.29	0.77
	Proposed method	5.31	1.43	0.034	0.075	0.28	0.45
Pattern number 10	GA	13.03	5.64	0.051	0.023	10.14	0.78
	FA	7.63	1.09	0.063	0.009	9.7	0.24
	Proposed method	4.95	1.18	0.026	0.014	2.68	2.49