| Autor: |
Sheik Mohammed Sulthan, Devaraj D., Sri Revathi B., Mohammed Mansoor O., Veena Raj |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Energy Reports, Vol 9, Iss , Pp 1502-1512 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2352-4847 |
| DOI: |
10.1016/j.egyr.2023.07.006 |
| Popis: |
In this article, a hybrid Maximum Power Point Tracking (MPPT) approach that can quickly adapt to a fast changing weather conditions is proposed. The proposed method entails the combination of a Perturb and Observe (P&O) MPPT technique with a Look-Up Table (LUT) algorithm. The algorithm operates through a series of stages to attain the MPP with improved speed and accuracy, in response to the observed variations in the input(s). The efficacy of the proposed approach’s MPP tracking performance is assessed through comprehensive simulation studies and experimental testing across diverse input conditions. The comparative evaluation of the proposed two-stage algorithm involves an assessment of its tracking response, reliability, and accuracy in relation to other established methodologies. The algorithm proposed exhibits a satisfactory level of overall efficiency, as evidenced by a tracking efficiency of 99.31% even under frequently changing weather conditions. This confirms the validity of the technique employed. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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