Influência da temperatura e irradiância nos parâmetros elétricos de módulos fotovoltaicos

Detalhes bibliográficos
Ano de defesa: 2020
Autor(a) principal: Marques, Henrique Silveira Alves
Orientador(a): Riffel, Douglas Bressan
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Pós-Graduação em Engenharia Elétrica
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://ri.ufs.br/jspui/handle/riufs/16150
Resumo: This master's thesis presents a study carried out on the identification of the electrical parameters of the photovoltaic module (PV) through characteristic curves measured in real climatic conditions, under various conditions of irradiance and temperature. For this, it is proposed to evaluate meta-heuristic and analytical techniques, seeking to qualify the expressions that best physically represent the electrical parameters of a diode model. In this way, this study presents a new proposal for a solution, bringing together analytical techniques and meta heuristics. The solution is based on a meta heuristic algorithm based on a JAYA optimization strategy, solving implicitly and integrated the various irradiance and temperature correction equations. The proposed method makes the union between the best of the two techniques analyzed and compared, in addition to allowing to compare and analyze the different models presented in the literature. In addition, at the end a case study is carried out and the influence of hot spots on the I-V curve and electrical parameters of the model of a diode of photovoltaic modules is evaluated. Thus, the main contributions of this dissertation are: the possibility of evaluating the models that have greater relevance in the problem of estimating the electrical parameters of a diode model; Obtaining electrical parameters and identifying the influence of temperature and irradiance under I-V curves and under the behavior of parameters; reduction of RMSE with the reached value 1.2119E-1 from the measured and estimated current through the application of the proposed method for the entire set of IV curves, presenting a reduction of the RMSE, in relation to the works presented and discussed in the state of the art for the same data set; evaluation of the impacts of hot spot on the photovoltaic modules and demonstration that the weighted average temperature (Tpond), better represented the operating temperature of the module. With the average RMSE of 4.12E-3 obtained, which represented an improvement of 48% when compared and we assigned the operating temperature to the value obtained by a sensor in the center of the module.