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Comparison of THD for Various Converters
| SI. No | Converters | THD (%) |
|---|---|---|
| 1. | Boost [11] | 6.42 |
| 2. | Buck-Boost [12] | 3.43 |
| 3. | Cuk [13] | 4.41 |
| 4. | Proposed SEPIC | 1.16 |
Parameter Specifications of Proposed System
| Parameter | Description |
|---|---|
| PV system | |
| Open circuit voltage | 37.25V |
| Short-circuit current | 8.95A |
| Series-connected solar panel | 2 |
| Parallel-connected solar PV cell | 25 |
| Maximum power voltage | 29.95V |
| Maximum current | 8.35A |
| SEPIC | |
| Switching frequency | 10kHz |
| Ca, Cb | 4.7μF |
| L1, L2 | 1 mH |
Survey related to the traditional MPPT approaches
| References | Methodology | Advantages | Limitations |
|---|---|---|---|
| Shaik rafi kiran et al (2022) [21] | artificial neural network (ANN) based MPPT | It achieves better tracking efficiency with minimized oscillation of MPP. | However, this system applicable for partially shaded PV system. |
| Faizan Mehmood et al (2020) [22] | Fuzzy-based MPPT | At the period of transient condition, this technique attains better performance with efficient power delivery. | Nevertheless, it has steady state oscillations and system complexity. |
| Sara et al (2021) [23] | ANFIL-based MPPT | It has higher accuracy, faster response with better tracking. | However, due to increasing number of rules, the system complexity is enhanced. |
| Chaoping rao et al (2022) [24] | Perturb observe (P&O)-Based MPPT | It attains minimized steady-state error with better tracking efficiency. | Nonetheless, the fluctuation around MPP and complexity leads to degradation of system performance. |
| Pawan Kumar Pathak et al (2021) [25] | modified incremental conductance (INC)-based MPPT | MINC attains high tracking efficacy with effectual convergence speed. | However, execution time needs to be considered in further studies. |