Zero root-mean-square error for single- and double-diode photovoltaic models parameter determination

No Thumbnail Available
File version
Author(s)
Ridha, Hussein Mohammed
Hizam, Hashim
Mirjalili, Seyedali
Othman, Mohammad Lutfi
Ya'acob, Mohammad Effendy
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2022
Size
File type(s)
Location
License
Abstract

The parameter determination based on experimental data aids in providing an accurate assessment for predicting the output current of the PV cells. This may be extremely helpful both practically and theoretically in the PV system simulation, optimization, and evaluation. Numerous stochastic methods have been widely utilized in recent decades to tackle the parameter extraction optimization problem. Hybrid methods that take advantage of two or more algorithms have been proposed by many to further enhance their accuracy, stability, and overall performance. However, the majority of the methods in the literature concentrate on the methodology, with few studies considering the formulation of the objective function, resulting in a theoretical gap in this area of study. In this work, a new improved arithmetic optimization method based on the adaption of Newton–Raphson and Levenberg–Marquardt damping parameter (IAOANRaLMp) is presented to globally extract the parameter of the single- and double-diode PV models. The experimental findings demonstrate that the proposed IAOANRaLMp approach performs exceptionally well in terms of minimizing error to zero for both models, as indicated by various statistical criteria and comparison with experimental data.

Journal Title

Neural Computing and Applications

Conference Title
Book Title
Edition
Volume

34

Issue

14

Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject

Applied statistics

Stochastic analysis and modelling

Photovoltaic devices (solar cells)

Artificial intelligence

Computer vision and multimedia computation

Machine learning

Science & Technology

Computer Science, Artificial Intelligence

Photovoltaic model

Persistent link to this record
Citation

Ridha, HM; Hizam, H; Mirjalili, S; Othman, ML; Ya'acob, ME, Zero root-mean-square error for single- and double-diode photovoltaic models parameter determination, Neural Computing and Applications, 2022, 34 (14), pp. 11603-11624

Collections