DOAJ Open Access 2023

Photovoltaic Panel Parameters Estimation Using an Opposition Based Initialization Particle Swarm Optimization

Cilina Touabi Abderrahmane Ouadi Hamid Bentarzi

Abstrak

A photovoltaic (PV) cell is generally used as renewable energy source. For an accurate study of various PV applications, modeling this basic device in a PV generator is essential. However, the manufacturers do not usually provide the model parameters and their values vary over time due to PV degradation and the change in weather conditions. Thus, finding an optimal technique for estimating the appropriate parameters is crucial. This problem can be solved by metaheuristic optimization algorithms, namely particle swarm optimization (PSO). However, early convergence is the main defect of PSO. This work presents an enhancement in the optimization method (PSO) for identifying the optimal parameters of a PV generating unit. In this method, the identification of parameters of the single diode model is based on an opposition-based initialization particle swarm optimization technique. The optimization algorithm is implemented in MATLAB which gives good results.

Topik & Kata Kunci

Engineering machinery, tools, and implements

Penulis (3)

Cilina Touabi

Abderrahmane Ouadi

Hamid Bentarzi

Format Sitasi

APA MLA BibTeX

Touabi, C., Ouadi, A., Bentarzi, H. (2023). Photovoltaic Panel Parameters Estimation Using an Opposition Based Initialization Particle Swarm Optimization. https://doi.org/10.3390/engproc2023029016

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Informasi Jurnal

Tahun Terbit: 2023
Sumber Database: DOAJ
DOI: 10.3390/engproc2023029016
Akses: Open Access ✓