|
| Reference | Year | Method | Finding | Comparison based on |
|
| Proposed result | | GA, ABC, PSO, and JFO | JFO tracking efficiency is 98.7% to 99.99%. In terms of overall performance, JFO > PSO > ABC > GA | Efficiency
JFO = 98.7% to 99.99%
PSO = 97.8% to 99.82%
ABC = 96.9 to 99.824%
GA = 93.9 to 98.533% |
Execution time
JFO = 0.038 to 0.121 sec
PSO = 0.123 to 0.2205 sec
ABC = 0.877 to 2.172 sec
GA = 0.0386 to 0.175 sec |
RMSE
JFO = 0.5940
PSO = 3.6330
ABC = 4.684
GA = 33.3639 |
|
| [18] | 2021 | ABC and P and O | ABC achieves a much superior performance than P and O | RMSE
ABC = 0.72, P and O = 0.919 |
|
| [16] | 2022 | JAYA, PSO, FPO, CS, and ABC | FPO is more efficient than CS, PSO, and Jaya-based dynamical tracking. Efficiency is better than PSO. ABC method has a shorter tracking time than the PSO | Tracking time
PSO = 4.1489 sec
Jaya = 3.3730 sec
FPO = 4.2317 sec
CS = 3.7798 sec
ABC = 3.8253 sec |
|
| [17] | 2019 | ABC, BAT, GWO, and PSO | PSO has a better response than ABC | Efficiency
PSO = 96.89%
ABC = 90.37%
BAT = 95.51%
GWO = 94.87% |
|
| [24] | 2017 | PSO, INR, and CS | When compared to PSO, the CS-based tracking was found to be better in all the scenarios. The tracking time of the CS tracker is less than that of the PSO | Efficiency
CS = 99.90%
PSO = 99.87%
INR = 99.14% |
|
| [27] | 2022 | P and O, PSO, and SOA | SOA performance is better than PSO | Efficiency
SOA = 98.05%
PSO = 90.60%
P and O = 71.35% |
|
| [20] | 2023 | TLABC, PSO, and ABC | The TLABC yields more efficiency and minimum MAE | Mean absolute error = 0.13
Efficiency = 99.89% |
|
| [15] | 2022 | PSO, CSA, GWO, MFO, WOA, SSA, and GOA | RMSE of GOA and WOA is less than the rest of the algorithms, which means that the power tracked by these algorithms is dense around the GMPP | Root mean square error
GOA = 3.9
SSA = 8.8
WOA = 3.9
MFO = 8.5
GWO = 6.8
CSA = 11
PSO = 11.6 |
|
| [41] | 2022 | SIOA | The SIOA, with global search ability, can effectively track the GMPP | Accuracy
SIOA = 99.4428% |
|
| [13] | 2023 | GA, PSO, ABC, DE, CS, GWO, ACO, and M-PSO | A comprehensive review in terms of tuning, convergence speed, complexity, sensing parameters, accuracy, speed, cost, and efficiency | Efficiency
ABC = 97.75%
ACO = 97.87%
GWO = 97.8%
CSA = high%
PSO = 98.1%
M-PSO = 99.87% |
|
| [14] | 2020 | ACO, GA, and PSO | PSO-based optimization attains higher tracking efficiency than GA | Root mean square error
ACO = 0.0021
GA = 0.0010
PSO = 0.0012 |
|
| [28] | 2022 | PSO and FPA | PSO and FPA outperform better in PSC, with a difference of 0.53 watts | Maximum power
PSO = 85.5 W
FPA = 86.03 W |
|
| [21] | 2023 | AOA-based PI-IC-MPPT, MIC, GWO, GA, and PSO MPPT | AOA-based PI-IC-MPPT gives better results than MIC, GWO, GA, and PSO | Reduced rise time and settling time
AOA = 61% and 94%
MIC = 3% and 84.7%
GWO = 4.5% and 86.6%
PSO = 26.9% and 79.3% |
|
| [22] | 2023 | RSA, DOA, GWO, WOA and PSO | RSA gives better efficiency than DOA, GWO, WOA, and PSO | Efficiency
RAS = 99.85%
DOA = 96.43%
GWO = 99.63%
WOA = 93.37%
PSO = 92.63% |
|
| [29] | 2023 | PSO-BOA, PSO, and BOA | PSO-BOA algorithm outperforms the PSO and BOA in terms of convergence accuracy, with a tracking accuracy of 99.94% | Efficiency/tracking time (s)
PSO-BOA = 99.9/0.47
PSO = 99.89/0.92
BOA = 98.87/0.75 |
|
| [33] | 2022 | DGBCO, DFO, ABC, CS, and PSO | DGBCO < DFO < ABC < CS < PSO | RMSE
DGBCO = 55.03
DFO = 58.8
ABC = 77.1
CS = 87.7
PSO = 94.7 |
|
| [45] | 2023 | SHTS, IABC, GWO, and IABC + SHTS MPPT | IABC + SHTS MPPT shows excellent performance and identifies the GMPP of the PV system with phenomenal rapidity among multiple peaks | Efficiency = 99.55% |
|
| [34] | 2023 | EVO, WOA, PSO, CSA, and P and O | EVO-based MPPT controller gives better efficiency than WOA, PSO, CSA, and P and O | Efficiency
EVO = 100%
WOA = 99.86%
PSO = 99.75%
CSA = 99.31%
P and O = 88% |
|
| [35] | 2023 | MRA, WOA, GWO, and PSO | MRA gives better performance than WOA, GWO, and PSO in terms of efficiency and tracking time | Efficiency
MRA = 99.97
WOA = 99.86
GWO = 99.55
PSO = 99.14 |
Tracking time (s)
MR = 0.22
WOA = 0.34
GWO = 0.49
PSO = 0.58 |
|
| [36] | 2023 | GRNN-OPA, GRNN-HHO, GRNN-GWO and GRNN-PSO | GRNN-OPA, with an efficiency of 99.96%, settles at GM at 65 ms, which is 71 ms faster than HHO and 45 ms quicker than PSO | Efficiency
GRNN-OPA = 99.96%
GRNN-HHO = 98.24%
GRNN-GWO = 97.45%
GRNN-PSO = 97.18% |
Tracking time (s)
MRA = 0.065
WOA = 0.071
GWO = 0.086
PSO = 0.145 |
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