Particle Swarm Optimization for photovoltaic model identification
This paper proposes a comprehensive modeling and parameters extraction method of solar photovoltaic module based on the Particle Swarm Optimization algorithm. The character-istic curves of photovoltaic panel are obtained by using only the information provided by the manufacturer data-sheet, avoiding...
| Autor principal: | |
|---|---|
| Outros Autores: | , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2020
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.6/8210 |
| País: | Portugal |
| Oai: | oai:ubibliorum.ubi.pt:10400.6/8210 |
| Resumo: | This paper proposes a comprehensive modeling and parameters extraction method of solar photovoltaic module based on the Particle Swarm Optimization algorithm. The character-istic curves of photovoltaic panel are obtained by using only the information provided by the manufacturer data-sheet, avoiding the need to carry out experimental data. The performance and the accuracy of the proposed method are evaluated by applying the one-diode model and the results are compared with those obtained by the well-known Lambert W function. The proposed method shows a higher performance. |
|---|