Research Article
Parameters Identification for Photovoltaic Module Based on an Improved Artificial Fish Swarm Algorithm
Table 2
Comparison of different methods for parameter identification with experimental data (TSM-250PC05A,
, and
).
| Parameter | Method | NR | GA | PSO | ABSO | AFSA | MAFSA |
| (Ω) | 0.0047 | 0.0025 | 0.0021 | 0.0029 | 0.0028 | 0.0028 | (Ω) | 4.8973 | 4.9996 | 2.6191 | 4.9104 | 5.0017 | 5.0094 | (A) | 8.7984 | 8.7746 | 8.8808 | 8.7948 | 8.7950 | 8.7949 | (μA) | | 0.1044 | 0.8180 | 0.0922 | 0.1020 | 0.1021 | | 0.9256 | 1.5123 | 1.5226 | 1.3416 | 1.3488 | 1.3488 | RMSE | 0.1517 | | | | | |
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