Abstract
A precise single-diode analytical model of Photovoltaic (PV) modules is generally nonlinear analytical equations with high computation complexity. This paper proposes a simple computational method for the PV model. Its exponential diode behaviour is simplified via Least Squares Approximation (LSA), which permits designers or engineers to predict the electrical characteristics of a PV module without using iterative numerical calculations. Based on experimental data, the methodology is validated by covering a wide range of operation conditions. Simulation and experimental results prove the effectiveness and accuracy of the proposed method. DOI: http://dx.doi.org/10.5755/j01.eee.20.1.6165
Highlights
Owing to the deterioration of the environmental pollution and the growth of fossil fuel price, solar energy has been encouraged to substitute conventional energy
Modelling electrical characteristics of a shadowed PV generator has become a central issue since it was reported that the maximum power losses are magnified nonlinearly [3], [4]
This paper proposes a fast least-squares approximation method for determining electrical characteristics of a PV Rp-model
Summary
Owing to the deterioration of the environmental pollution and the growth of fossil fuel price, solar energy has been encouraged to substitute conventional energy. Array’s output power is to adaptively reconfigure solar array by a real-time model-based algorithm [8]. All these intelligent PV systems drive scientists to develop a simple and accurate soft-computing method for predicting the electrical characteristics of solar PV modules. Estimation techniques are required to determine the parameters necessary to model an accurate PV cell or generator (e.g. five-parameter PV model [10]) These numerical and estimation methods significantly increase the computation complexity and are not feasible for real-time prediction of I-V characteristics. In [6] and [8], series and/or shunt resistances are ignored to reduce computational effort This kind of simplifications decreases the accuracy of analytical models. The sensing techniques, crucial in practical implementation, we avoid the discussion here
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
