Anani, N.; Ibrahim, H. Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators. Energies2020, 13, 4825.
Anani, N.; Ibrahim, H. Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators. Energies 2020, 13, 4825.
Anani, N.; Ibrahim, H. Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators. Energies2020, 13, 4825.
Anani, N.; Ibrahim, H. Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators. Energies 2020, 13, 4825.
Abstract
This paper presents a concise exploration of several analytical methods for extracting the parameters of the single-diode model (SDM) of a photovoltaic (PV) module under standard test conditions (STC). The paper investigates six methods and presents the detailed mathematical analysis leading to the development of each method. To evaluate the performance of these methods, MATLAB-based software has been developed and deployed to synthesize the results of each method when used to extract the SDM parameters of various PV test modules of different PV technologies. Similar software has also been developed to extract the same parameters using well-established numerical and iterative techniques. A comparison is subsequently made between the synthesized results and those obtained using numerical and iterative methods. The comparison indicates that in spite of the fact that analytical methods may involve fair amount of approximations, their accuracy can be comparable to that of their numerical and iterative counterparts, with the added advantage of significant reduction in computational complexity, and without the initialization and convergence difficulties, which are normally associated with numerical methods.
Keywords
Ideality factor; parameter extraction; photocurrent; saturation current; series resistance; shunt resistance; single-diode model
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
