Review Article
Overview of Solar Photovoltaic MPPT Methods: A State of the Art on Conventional and Artificial Intelligence Control Techniques
Table 6
Comparison of symmetrical soft computing-based MPPT techniques.
| Parameter | Pb&O [19, 88–90] | FLC [106–114] | ANN [99–101] | PSO [132–134] | GA [121, 147–149] | GWO [152]/FFOA [173] | TLBO [167] | CSA [162] |
| System dependency | High | Low | Low | High | Low | Low | No | No | Ability to track under normal conditions | Fast | Fast | Poor | High | High | High | High | High | Ability to track under nonuniform conditions | Slow | Slow | High | High | Average | High | High | High | Efficiency | Poor | Poor | Poor | High | High | High | High | High | Convergence speed | Low | Moderate | Average | Fast | Fast | Medium | High | High | Algorithm difficulty | Simple | Moderate | Simple | Simple | High | Medium | Medium | High | Oscillation around MPPT | Highest | No | No | No | No | No | No | Moderate | Lowest settling time | No | No | No | Average | Moderate | Moderate | High | Moderate |
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