EVALUATION OF THE SWARM MVMO FOR PHOTOVOLTAIC PARAMETER ESTIMATION IN A DOUBLE-DIODE MODEL

Autores

  • Gustavo Henrique de Paula Santos Instituto Federal de Educação, Ciência e Tecnologia de São Paulo, Campus Campinas
  • Moisés Carlos Tanca Villanueva Universidade Nacional de San Agustín de Arequipa, Departamento de Ingeniería Eléctrica
  • Elmer Pablo Tito Cari Universidade de São Paulo, Escola de Engenharia de São Carlos, Departamento de Engenharia Elétrica e Computação

DOI:

https://doi.org/10.59627/rbens.2024v15i2.476

Resumo

Photovoltaic energy is expanding due to its generation performance, cost, and useful life. In this regard, developing models and techniques to enhance system efficiency is essential. Analytical, metaheuristic, and hybrid methods have been used to estimate the parameters of Single-Diode Model (SDM) and Double-Diode Model (DDM), but none solve all the problems, thus requiring the development of new techniques. In this work, the Swarm MVMO method was used to estimate the parameters of the double diode model using data from the photovoltaic cell RTC France. The results obtained show that Swarm MVMO was effective, reaching the same level of RMSE as other algorithms in the literature and achieving a good fit in the I-V and P-V curves.

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Publicado

2024-12-23

Como Citar

de Paula Santos, G. H., Tanca Villanueva, M. C., & Tito Cari, E. P. (2024). EVALUATION OF THE SWARM MVMO FOR PHOTOVOLTAIC PARAMETER ESTIMATION IN A DOUBLE-DIODE MODEL. Revista Brasileira De Energia Solar, 15(2), 192–200. https://doi.org/10.59627/rbens.2024v15i2.476

Edição

v. 15 n. 2 (2024): Revista Brasileira de Energia Solar

Seção

Artigos