Metaheuristic algorithms for PV parameter identification: A comprehensive review with an application to threshold setting for fault detection in PV systems

DS Pillai, N Rajasekar - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Precise model parameters being the prerequisite for realizing accurate PV models,
parameter identification techniques have gained immense interest over the years among the …

A comprehensive review on photovoltaic emulator

R Ayop, CW Tan - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
The photovoltaic (PV) emulator is a nonlinear power supply which has similar current-
voltage (IV) characteristic to the PV module. In solar energy generation research, such as …

Parameter extraction of solar photovoltaic models using queuing search optimization and differential evolution

AA Abd El-Mageed, AA Abohany, HMH Saad… - Applied Soft …, 2023 - Elsevier
Given the photovoltaic (PV) model's multi-model and nonlinear properties, extracting its
parameters is a difficult problem to solve. Furthermore, because of the features of the …

On the analytical approach for modeling photovoltaic systems behavior

J Cubas, S Pindado, M Victoria - Journal of power sources, 2014 - Elsevier
Abstract The 1-diode/2-resistors electric circuit equivalent to a photovoltaic system is
analyzed. The equations at particular points of the I–V curve are studied considering the …

Enhanced marine predators algorithm for identifying static and dynamic photovoltaic models parameters

M Abd Elaziz, SB Thanikanti, IA Ibrahim, S Lu… - Energy Conversion and …, 2021 - Elsevier
Providing an accurate and precise photovoltaic model is a vital stage prior to the system
design, therefore, this paper proposes a novel algorithm, enhanced marine predators …

Collaborative swarm intelligence to estimate PV parameters

HGG Nunes, JAN Pombo, PMR Bento… - Energy Conversion and …, 2019 - Elsevier
To properly evaluate, control and optimize photovoltaic (PV) systems, it is crucial to
accurately estimate the equivalent electric circuit parameters from the respective …

[HTML][HTML] Improved moth flame optimization algorithm based on opposition-based learning and Lévy flight distribution for parameter estimation of solar module

A Sharma, A Sharma, M Averbukh, S Rajput, V Jately… - Energy Reports, 2022 - Elsevier
An enhanced version of the moth flame optimization algorithm is proposed in this paper for
rapid and precise parameter extraction of solar cells. The proposed OBLVMFO algorithm's …

Maximum likelihood parameters estimation of single-diode model of photovoltaic generator

A Ayang, R Wamkeue, M Ouhrouche, N Djongyang… - Renewable energy, 2019 - Elsevier
In this paper, review on modeling photovoltaic (PV) generator is established first; next, the
combination of the optimization method of maximum likelihood estimator (MLE) and Newton …

A dynamic photovoltaic model incorporating capacitive and reverse-bias characteristics

KA Kim, C Xu, L **, PT Krein - IEEE Journal of photovoltaics, 2013 - ieeexplore.ieee.org
Photovoltaics (PVs) are typically modeled only for their forward-biased dc characteristics, as
in the commonly used single-diode model. While this approach accurately models the IV …

Comparative performance on photovoltaic model parameter identification via bio-inspired algorithms

J Ma, Z Bi, TO Ting, S Hao, W Hao - Solar Energy, 2016 - Elsevier
Photovoltaic (PV) models are usually composed by nonlinear exponential functions, where
several unknown parameters must be identified from a set of experimental measurements …