A method for hybrid extraction of single-diode model parameters of photovoltaics. (October 2020)

• Record Type: Journal Article
• Authors: Arabshahi, M.R.; Torkaman, H.; Keyhani, A.
• Is Part Of: Renewable energy. Volume 158(2020)
• Page Start: 236
• Page End: 252
• Publication Date: 2020-10
• Subjects: Parameter estimation -- Photovoltaic (PV) module -- Single−diode model -- Current−Voltage (I−V) characteristic -- Optimization algorithm; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2020.05.035
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: This paper presents a hybrid method to extract the five unknown parameters of a single-diode photovoltaic (PV) model. The proposed method is a combination of analytical and optimization algorithms such that only two parameters, namely, series ( R s ) and shunt resistance ( R s h ), are estimated by using metaheuristic algorithms. The information of three major key points in datasheets provided by manufacturers is used for optimization and the sum of the squared error formulated. The rest of the unknown parameters, diode ideality factor ( D ), photo-generated current ( I p h ), and dark saturation current ( I o ) are obtained analytically. In order to predict the behavior of real performance characteristics of solar PV modules under different environmental conditions, a set of translational formulas have been used. Finally, performance indices, such as PV characteristics, absolute error in current, normalized root mean square error (nRMSE), maximum power, and relative maximum power error are estimated for six different types of PV modules from different technology to reveal the effectiveness of the proposed method. Through comparison with experimental data available in modules datasheet and existing method, it was found that the proposed method is sufficiently accurate. Highlights: Using single-diode model to evaluate the behavior of photovoltaic modules. Using optimization-based method with constraints for parameter extraction. Proposed method not sensitive to initial guess. Standard datasheet information is utilized to parameter extraction. A comparison is made between other well-known methods as well as datasheets.