Temporal Monitoring of Temperature and Incident Irradiance for Predicting Photovoltaic Solar Module Peak Power and Efficiency using Analytical Expressions of Model Physical Parameters

Zaimi, M.; Achouby, H. El; Ibral, A.; Assaid, E.; Maliki, M. S. El; Saadani, Rachid

doi:10.1109/irsec.2018.8702973

Cited by 6 publications

(1 citation statement)

References 16 publications

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“…It also implies the increase in the number of natural disasters and health diseases. Therefore, taking into consideration the natural, health, and economic problems facing the employment of fossil fuels' sources, besides their continuous reduction caused by their massive exploitation makes the production of energy a challenge of great importance (Kandiyoti et al, 2017;& Zaimi et al, 2018). Renewable energies such as solar photovoltaic energy, wind energy, hydropower, biomass, and geothermal resources represent an alternative, sustainable, and ecological solutions (Yildiz., 2018;& Humada et al, 2016).…”

Section: Motivationmentioning

confidence: 99%

A New Reduced Form for Real-Time Identification of PV Panels Operating Under Arbitrary Conditions

Tifidat

Maouhoub

Benahmida

2022

International Journal of Energy Optimization and Engineering

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In this work, an efficient solution based on the reducing forms approach is presented to extract the five parameters of the single-diode model of PV generators from their I-V curves. Thus, by reducing the number of the five unknown parameters to two unknowns, the analytical expression of the current based on the LambertW function will then depend only on the ideality factor and the series resistance, as the two unknowns to predict numerically using the non-linear least square technique. The three other parameters are calculated as functions of the two predicted parameters using a linear system of three equations. Two sets of experiments are used for the validation of the proposed approach, which first showed its rapidity and high accuracy compared to the best approaches from the literature. Then, the method was applied for the real-time identification of four PV modules operating outdoors during one reference day at Cocoa (Florida).

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