Opposition decided gradient-based optimizer with balance analysis and diversity maintenance for parameter identification of solar photovoltaic models

M Premkumar, P Jangir, RM Elavarasan… - Journal of Ambient …, 2023 - Springer
The solar photovoltaic (PV) parameter estimation/identification is a complicated optimization
process that directly affects the performance of PV systems if the internal parameters of PV …

Random learning gradient based optimization for efficient design of photovoltaic models

W Zhou, P Wang, AA Heidari, X Zhao… - Energy Conversion and …, 2021 - Elsevier
How to effectively realize the parameter identification of different photovoltaic models has
gradually become a research hotspot. This paper proposes an improved gradient-based …

[HTML][HTML] Gradient-based optimization with ranking mechanisms for parameter identification of photovoltaic systems

I Ahmadianfar, W Gong, AA Heidari, NA Golilarz… - Energy Reports, 2021 - Elsevier
Deriving optimal photovoltaic (PV) models' optimal parameters have tremendous
significance in simulating, evaluating, and controlling the photovoltaic systems. Determining …

Opposition-based equilibrium optimizer algorithm for identification of equivalent circuit parameters of various photovoltaic models

N Shankar, N Saravanakumar, C Kumar… - Journal of …, 2021 - Springer
The simulation, assessment, and harvesting of maximum energy of the solar photovoltaic
(PV) system require accurate and fast parameter estimation for solar cell/module models. No …

Photovoltaic models' parameter extraction using new artificial parameterless optimization algorithm

M Alanazi, A Alanazi, A Almadhor, HT Rauf - Mathematics, 2022 - mdpi.com
Identifying parameters in photovoltaic (PV) cell and module models is one of the primary
challenges of the simulation and design of photovoltaic systems. Metaheuristic algorithms …

A new hybrid algorithm based on grey wolf optimizer and cuckoo search for parameter extraction of solar photovoltaic models

W Long, S Cai, J Jiao, M Xu, T Wu - Energy Conversion and Management, 2020 - Elsevier
Quickly, accurately and reliably extract the parameters of solar photovoltaic (PV) model is
very critical to simulate, evaluate and control the PV systems. During the past few years …

Evolutionary multi-task optimization for parameters extraction of photovoltaic models

J Liang, K Qiao, M Yuan, K Yu, B Qu, S Ge, Y Li… - Energy Conversion and …, 2020 - Elsevier
As the demand for solar energy increases dramatically, the optimization and control of
photovoltaic systems become increasingly important, accurate and reliable parameter …

An enhanced grey wolf optimizer with fusion strategies for identifying the parameters of photovoltaic models

J Luo, F He, X Gao - Integrated Computer-Aided Engineering, 2023 - content.iospress.com
Identifying photovoltaic (PV) parameters accurately and reliably can be conducive to the
effective use of solar energy. The grey wolf optimizer (GWO) that was proposed recently is …

A novel Elite Opposition-based Jaya algorithm for parameter estimation of photovoltaic cell models

L Wang, C Huang - Optik, 2018 - Elsevier
Parameter estimation of photovoltaic (PV) cell models using a novel Elite Opposition-based
Jaya (EO-Jaya) algorithm is studied in this letter. The EO-Jaya is a swarm intelligence …

[HTML][HTML] Parameter identification of solar photovoltaic cell and module models via supply demand optimizer

AM Shaheen, RA El-Seheimy, G Xiong, E Elattar… - Ain Shams Engineering …, 2022 - Elsevier
The extraction of photovoltaic (PV) module parameters is regarded as a critical topic for
assessing the performance of PV energy systems. The Supply-Demand-Based Optimization …