Table 5 Comparative study with related works.
References | Micro-grid Components | Strategies | Contribution | THD (%) | The novelty of the suggested system |
|---|---|---|---|---|---|
PV/utility grid | MPPT and stream control | FL control | 3.64 | Increase the power produced Reduce the THD value than other previous works Increase the MPPT powers of RESs by applying the artificial intelligent approaches Improve stream and power quality by PSO-FOPI-ISMC | |
PV/Grid | Stream control | Nonlinear adaptive backstepping control approach | 2.89 | ||
PV/WE/Battery/Dump DC load/AC loads | Management energy and frequency and voltage control | FL control | 4.5 | ||
PV/WE/battery/standalone | Management energy MPPT controller and stream control | FL control | 5 | ||
PV/WE/battery/standalone | Stream control and Energy management | Brain emotional learning-based intelligent controller | 2.22 | ||
Our proposed ES with different scenarios | PV/WE/Battery/Dump load/loads | Management energy MPPT controller and stream control | ANFIS and ANN MPPT control FOPI-ISMC | 0.70 | |
0.56 | |||||
0.72 | |||||
0.43 | |||||
0.64 |