Solar photovoltaic parameter estimation using an improved equilibrium optimizer
M Abdel-Basset, R Mohamed, S Mirjalili… - Solar Energy, 2020 - Elsevier
In this paper, a recent optimization algorithm called Equilibrium Optimizer (EO) is first
improved using a linear reduction diversity technique (LRD) and local minima elimination …
improved using a linear reduction diversity technique (LRD) and local minima elimination …
Parameters extraction of single and double diodes photovoltaic models using Marine Predators Algorithm and Lambert W function
HM Ridha - Solar Energy, 2020 - Elsevier
Efficient and accurate estimation parameters of the PV model from real experimental data is
crucial for modeling, increasing investments, and determining the actual performance before …
crucial for modeling, increasing investments, and determining the actual performance before …
An efficient teaching-learning-based optimization algorithm for parameters identification of photovoltaic models: Analysis and validations
M Abdel-Basset, R Mohamed, RK Chakrabortty… - Energy Conversion and …, 2021 - Elsevier
Accurate and efficient parameter estimation of the photovoltaic (PV) models is considered a
dispensable process to simulate the PV systems. Therefore, many meta-heuristic algorithms …
dispensable process to simulate the PV systems. Therefore, many meta-heuristic algorithms …
Soft actor-critic–based multi-objective optimized energy conversion and management strategy for integrated energy systems with renewable energy
As an essential development direction of energy internet, integrated energy system with
interdisciplinary techniques is of great significance to promote multi-energy cooperation …
interdisciplinary techniques is of great significance to promote multi-energy cooperation …
A hybrid adaptive teaching–learning-based optimization and differential evolution for parameter identification of photovoltaic models
Photovoltaic (PV) systems play an important role in today's power systems because they can
convert solar energy directly into electricity. However, theirs conversion performance …
convert solar energy directly into electricity. However, theirs conversion performance …
[HTML][HTML] Reinforcement learning-based differential evolution for parameters extraction of photovoltaic models
In photovoltaic (PV) model, it is an urgent problem to control and optimize the accurate
parameters. Hence, many algorithms have been proposed for parameter extraction of …
parameters. Hence, many algorithms have been proposed for parameter extraction of …
Parameter extraction of photovoltaic models using an enhanced Lévy flight bat algorithm
In this paper, a modified version of the bat algorithm (BA), called enhanced Lévy flight bat
algorithm (ELBA), is proposed for accurate and efficient parameter extraction of different …
algorithm (ELBA), is proposed for accurate and efficient parameter extraction of different …
Performance investigation of state-of-the-art metaheuristic techniques for parameter extraction of solar cells/module
One of the greatest challenges for widespread utilization of solar energy is the low
conversion efficiency, motivating the needs of developing more innovative approaches to …
conversion efficiency, motivating the needs of developing more innovative approaches to …
An investigation on hybrid particle swarm optimization algorithms for parameter optimization of PV cells
The demands for renewable energy generation are progressively expanding because of
environmental safety concerns. Renewable energy is power generated from sources that …
environmental safety concerns. Renewable energy is power generated from sources that …
A landscape-aware particle swarm optimization for parameter identification of photovoltaic models
Photovoltaic (PV) systems play a significant role in power systems since they can convert
solar energy directly into electricity. Their conversion performance depends mainly on the …
solar energy directly into electricity. Their conversion performance depends mainly on the …