Publicação
AN OPTIMIZED APPROACH FOR PHOTOVOLTAIC PARAMETERS EXTRACTION
| Resumo: | The state of deterioration of a photovoltaic technology's internal components, is the primary negative event that these technologies encounter [1]. The internal parameters of solar panels as well as the overall production might be affected by this degradation. The optimization procedure for obtaining these parameters goes through three phases; measuring the solar cell's response (current and voltage); calculating the discrepancies between measured and estimated data; and applying an optimization method for minimization. IV tracers susceptibility to additive noise is examined, and in order to justify its use [2], a new optimization cost function is presented and contrasted with the traditional function [3]. Eleven metaheuristic approaches for extracting photovoltaic parameters were also used, and their effectiveness was compared [4]. The goal of this research was to determine the optimal electrical model, cost function, and optimization technique to utilize in order to acquire the best photovoltaic parameters and the appropriate instrument resolution. |
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| Autores principais: | Mesbahi, Oumaima |
| Outros Autores: | Tlemçani, Mouhaydine; Janeiro, Fernando M. |
| Assunto: | Photovoltaic parameters Metaheuristic algorithms cost function least squares approach |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Universidade de Évora |
| Idioma: | inglês |
| Origem: | Repositório Científico da Universidade de Évora |
| Resumo: | The state of deterioration of a photovoltaic technology's internal components, is the primary negative event that these technologies encounter [1]. The internal parameters of solar panels as well as the overall production might be affected by this degradation. The optimization procedure for obtaining these parameters goes through three phases; measuring the solar cell's response (current and voltage); calculating the discrepancies between measured and estimated data; and applying an optimization method for minimization. IV tracers susceptibility to additive noise is examined, and in order to justify its use [2], a new optimization cost function is presented and contrasted with the traditional function [3]. Eleven metaheuristic approaches for extracting photovoltaic parameters were also used, and their effectiveness was compared [4]. The goal of this research was to determine the optimal electrical model, cost function, and optimization technique to utilize in order to acquire the best photovoltaic parameters and the appropriate instrument resolution. |
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