- Tytuł:
- Hybrid MPPT algorithm for PV systems under partially shaded conditions using a stochastic evolutionary search and a deterministic hill climbing
- Autorzy:
-
Basiński, K.
Ufnalski, B.
Grzesiak, L. M. - Powiązania:
- https://bibliotekanauki.pl/articles/1193446.pdf
- Data publikacji:
- 2017
- Wydawca:
- Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
- Tematy:
-
maximum power point tracking
photovoltaic system
hybrid part-stochastic part-deterministic search rule
particle swarm optimization (PSO)
partial shading
hill climbing - Opis:
- A hybrid maximum power point tracking method has been proposed for the photovoltaic system using a stochastic evolutionary search and a deterministic hill climbing algorithm. The proposed approach employs the particle swarm optimizer (PSO) to solve a dynamic optimization problem related to the control task in a PV system. The position of the best particle is updated by the hill climbing algorithm, and the position of the rest of the particles by the classic PSO rule. The presented method uses the re-randomization mechanism, which places five consecutive particles randomly, but in specified intervals. This mechanism helps track the maximum power point under partially shaded conditions.
- Źródło:
-
Power Electronics and Drives; 2017, 2, 37/2; 49-59
2451-0262
2543-4292 - Pojawia się w:
- Power Electronics and Drives
- Dostawca treści:
- Biblioteka Nauki
Artykuł