| Autor: |
Hazem H. Mostafa, Amr M. Ibrahim, Wagdi R. Anis |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Archives of Electrical Engineering, Vol vol. 68, Iss No 3, Pp 611-627 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2300-2506 |
| DOI: |
10.24425/aee.2019.129345 |
| Popis: |
This research presents a comparative study for maximum power point tracking (MPPT) methodologies for a photovoltaic (PV) system. A novel hybrid algorithm golden section search assisted perturb and observe (GSS-PO) is proposed to solve the problems of the conventional PO (CPO). The aim of this new methodology is to boost the efficiency of the CPO. The new algorithm has a very low convergence time and a very high efficiency. GSS-PO is compared with the intelligent nature-inspired multi-verse optimization (MVO) algorithm by a simulation validation. The simulation study reveals that the novel GSS-PO outperforms MVO under uniform irradiance conditions and under a sudden change in irradiance. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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