Parameter extraction of solar photovoltaic cell and module models with metaheuristic algorithms: A review
Z Gu, G Xiong, X Fu - Sustainability, 2023 - mdpi.com
As the photovoltaic (PV) market share continues to increase, accurate PV modeling will have
a massive impact on the future energy landscape. Therefore, it is imperative to convert …
a massive impact on the future energy landscape. Therefore, it is imperative to convert …
Electrical parameters extraction of PV modules using artificial hummingbird optimizer
The parameter extraction of PV models is a nonlinear and multi-model optimization problem.
However, it is essential to correctly estimate the parameters of the PV units due to their …
However, it is essential to correctly estimate the parameters of the PV units due to their …
Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems
This study presents the K-means clustering-based grey wolf optimizer, a new algorithm
intended to improve the optimization capabilities of the conventional grey wolf optimizer in …
intended to improve the optimization capabilities of the conventional grey wolf optimizer in …
A collaboration-based hybrid GWO-SCA optimizer for engineering optimization problems
Y Duan, X Yu - Expert Systems with Applications, 2023 - Elsevier
Abstract Grey Wolf Optimizer (GWO) tends to converge prematurely when dealing with
multimodal problems. Using the benefits of hybridizing algorithm to boost the performance of …
multimodal problems. Using the benefits of hybridizing algorithm to boost the performance of …
A novel chaotic-driven Tuna Swarm Optimizer with Newton-Raphson method for parameter identification of three-diode equivalent circuit model of solar photovoltaic …
Photovoltaic (PV) modeling is becoming an increasingly popular field of study. When it
comes to the effective performance and reliability of PV systems, the reliability of PV models …
comes to the effective performance and reliability of PV systems, the reliability of PV models …
[HTML][HTML] Hybrid multi-group stochastic cooperative particle swarm optimization algorithm and its application to the photovoltaic parameter identification problem
The accurate estimation of model parameters is significant for the simulation, evaluation,
control, and optimization of photovoltaic systems. Recently, meta-heuristic algorithms …
control, and optimization of photovoltaic systems. Recently, meta-heuristic algorithms …
IGJO: an improved golden jackel optimization algorithm using local escaping operator for feature selection problems
Feature Selection (FS) is an essential process that is implicated in data mining and machine
learning for data preparation by removing redundant and irrelevant features, thereby falling …
learning for data preparation by removing redundant and irrelevant features, thereby falling …
Parameter extraction of photovoltaic cells and modules by hybrid white shark optimizer and artificial rabbits optimization
This study presents the parameter extraction of photovoltaic (PV) cells and modules using a
new hybrid metaheuristic algorithm developed based on the white shark optimizer (WSO) …
new hybrid metaheuristic algorithm developed based on the white shark optimizer (WSO) …
Review of the grey wolf optimization algorithm: variants and applications
One of the most widely referenced Swarm Intelligence (SI) algorithms is the Grey Wolf
Optimizer (GWO), which is based on the pack hunting and natural leadership organization of …
Optimizer (GWO), which is based on the pack hunting and natural leadership organization of …
Improved honey badger algorithms for parameter extraction in photovoltaic models
Precise estimation of the parameter values of solar models is very essential for optimization
of solar systems. Many studies that use metaheuristic algorithms have recently been …
of solar systems. Many studies that use metaheuristic algorithms have recently been …