Photovoltaic Power Prediction Using Analytical Models and Homer-Pro: Investigation of Results Reliability

• Main Authors: Alhousni F.K., Alnaimi F.B.I., Okonkwo P.C., Ben Belgacem I., Mohamed H., Barhoumi E.M.
• Other Authors: 57215064807
• Format: Article
• Published: MDPI 2024
• Subjects: analytical model; experimental results; photovoltaic; prediction; analytical method; dust; electricity generation; optimization; photovoltaic system; power generation
• Institution: Universiti Tenaga Nasional

This paper aims to develop an analytical model for the prediction of the electricity produced in a Photovoltaic Power Station (PVS). In this context, the developed mathematical model is implemented in a Simulink Model. The obtained simulation results are compared to the experimental data, the result...