EVALUATION OF THE SWARM MVMO FOR PHOTOVOLTAIC PARAMETER ESTIMATION IN A DOUBLE-DIODE MODEL
DOI:
https://doi.org/10.59627/cbens.2024.2374Palavras-chave:
Swarm MVMO, Parameter Estimation of Photovoltaic Systems, Double-diode model (DDM)Resumo
Photovoltaic energy is expanding due to its generation performance, cost, and useful life. In this sense, it is essential to develop models and techniques that can improve the efficiency of systems. 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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