Publicação

Development of a photovoltaic MPPT control based on neural network

Ver documento

Detalhes bibliográficos
Resumo:The Maximum Power Point Tracking (MPPT) is an important factor to increase the efficiency of the solar photovoltaic (PV) system. This paper presents a solar PV system containing a solar PV array, a DC/DC boost converter and a load. Di↵erentMPPT algorithms have been established with their features. The conventional algorithms (Perturb and Observe, Incremental Conductance and Open Circuit Voltage) show a lot of drawbacks. The major issue is the tracking of the Maximum Power Point (MPP) when environmental conditions change faster. So, a MPPT technique based on Neural Network (NN) was developed and which can enhance the efficiency and gathers the advantages of a lot of techniques. A multi layer neural network with back-propagation algorithm is used in order to have a small Mean Squared Error (MSE). The inputs of NN are irradiance, temperature and the output is the duty cycle that controls the boost converter. Finally, it is discussed the results and made comparison in terms of performance of the di↵erent algorithms, covering the overshoot, time response, oscillation and stability.
Autores principais:Abderrahmane, Elhor
Outros Autores:Abdelfettah, Kerboua; Fouad, Boukli Hacen; Soares, Orlando
Assunto:Maximum power point Tracking algorithms Neural network DC/DC boost converter Solar PV system
Ano:2021
País:Portugal
Tipo de documento:documento de conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB

Registos relacionados

Registos relacionados