Parameters Identification of bifacial pv cellsu nder different irradiations

Abstract

Given the non-linear characteristics of photovoltaic modules (PV) and their dependency on operating conditions, it becomes crucial to accurately forecast their behavior under varying temperatures and irradiance. As the demand for this technology continues to grow, it is imperative to develop effectiv emethod sfo rprecisel yextractin gth eintrinsi cparameter so fthese modules. To help in design and assess the performance of PV panels, a de-veloped model is used. The model is none other than an equivalent electrical circuit with basic components (a source, resistors, and one diode or more). Single-diode and double-diode models are the most popular in the literature. In this project, these models are used to model the bifacial photovoltaic cell. Equivalent circuit parameters must be obtained, from either a set of exper-imental data or a manufacturer’s data sheet, in order to construct a model. The aim is to obtain values that yield an accurate model. The problem is tackled as an optimization one, where the sum of Root mean square error (RMSE), between the experimental and the calculated data, and the power error around the maximum power point (MPP) is the function to be optimized. Optimization is achieved using two differen tmeta-heuristi calgorithms :Ma-rine Predators Algorithm (MPA) and Snake Optimizer Algorithm(SOA). The aforementioned algorithms are adapted to extract the bifacial PV parameters (af , I0f , Iphf , Rpf , Rsf , ar, I0r, Iphr, Rpr, Rsr) using MATLAB