Published October 2019 | Version v1
Journal article

Important notes on parameter estimation of solar photovoltaic cell

  • 1. Laboratory of Technologies and Applied Sciences, University of Douala (Cameroon)
  • 2. Higher Technical Teacher Training College of Ebolowa, University of Yaounde 1 (Cameroon)
  • 3. Electrical Engineering and Telecommunications Department, National Advanced School of Engineering, University of Yaounde 1, Yaoundé (Cameroon)
  • 4. School of Engineering, University of Quebec in Abitibi-Temiscamingue (UQAT), 445 Boul. de l'Université, Rouyn-Noranda, QC J9X 5E4 (Canada)

Description

Highlights: • An sample algorithm is used to check the inaccuracies occurred in the parameters identification of the photovoltaic cell. • General Algebraic Modeling System is used to extract the best values of parameters of a PV cell and PV module. • Tools are applied to check and extract parameters from single and double diode model. • General Algebraic Modeling System is applied to four different case studies. • Comparison with recent methods in the literature show the superiority of General Algebraic Modeling System. -- Abstract: To evaluate the performance of a photovoltaic panel, several parameters must be extracted from the photovoltaic. Among the methods developed to extract photovoltaic parameters from current-voltage (I-V) characteristic curve, metaheuristic algorithms are the most used nowadays. The aim of this paper is to present the inaccuracies occurred in the parameter's identification of the photovoltaic cell using metaheuristic technics published in Energy Conversion and Management. The results presented by different authors do not meet the objective function. To prove it, an algorithm is proposed to check the accuracy of the proposed results; a simple tool, General Algebraic Modeling System is also proposed to extract the best values of parameters of a photovoltaic cell.

Additional details

Identifiers

DOI
10.1016/j.enconman.2019.111870;
PII
S0196890419308520;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
197
Journal Page Range
vp.
ISSN
0196-8904
CODEN
ECMADL

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55003083
Subject category
S14: SOLAR ENERGY;
Descriptors DEI
ALGORITHMS; COMPUTERIZED SIMULATION; ELECTRIC CONDUCTIVITY; ELECTRIC POTENTIAL; PHOTOVOLTAIC EFFECT; SOLAR CELLS
Descriptors DEC
DIRECT ENERGY CONVERTERS; ELECTRICAL PROPERTIES; EQUIPMENT; MATHEMATICAL LOGIC; PHOTOELECTRIC CELLS; PHOTOELECTRIC EFFECT; PHOTOVOLTAIC CELLS; PHYSICAL PROPERTIES; SIMULATION; SOLAR EQUIPMENT

Optional Information

Copyright
Copyright (c) 2019 Elsevier Ltd. All rights reserved.