Leveraging opposition-based learning for solar photovoltaic model parameter estimation with exponential distribution optimization algorithm
N Kullampalayam Murugaiyan, K Chandrasekaran… - Scientific Reports, 2024 - nature.com
Given the multi-model and nonlinear characteristics of photovoltaic (PV) models, parameter
extraction presents a challenging problem. This challenge is exacerbated by the propensity …
extraction presents a challenging problem. This challenge is exacerbated by the propensity …
Efficient parameter extraction of photovoltaic models with a novel enhanced prairie dog optimization algorithm
The growing demand for solar energy conversion underscores the need for precise
parameter extraction methods in photovoltaic (PV) plants. This study focuses on enhancing …
parameter extraction methods in photovoltaic (PV) plants. This study focuses on enhancing …
Quadratic interpolation and a new local search approach to improve particle swarm optimization: Solar photovoltaic parameter estimation
Abstract The Particle Swarm Optimization technique (PSO) is widely used in practical
applications due to its flexibility and strong optimization performance. However, like other …
applications due to its flexibility and strong optimization performance. However, like other …
Evolutionary multi-task optimization for parameters extraction of photovoltaic models
As the demand for solar energy increases dramatically, the optimization and control of
photovoltaic systems become increasingly important, accurate and reliable parameter …
photovoltaic systems become increasingly important, accurate and reliable parameter …
An opposition-based sine cosine approach with local search for parameter estimation of photovoltaic models
Identifying the optimum parameters of photovoltaic models based on the measured current-
voltage info is a vital step in monitoring, simulating, and optimizing the photovoltaic systems …
voltage info is a vital step in monitoring, simulating, and optimizing the photovoltaic systems …
An improved differential evolution for parameter identification of photovoltaic models
S Yuan, Y Ji, Y Chen, X Liu, W Zhang - Sustainability, 2023 - mdpi.com
Photovoltaic (PV) systems are crucial for converting solar energy into electricity.
Optimization, control, and simulation for PV systems are important for effectively harnessing …
Optimization, control, and simulation for PV systems are important for effectively harnessing …
Solar photovoltaic model parameter estimation based on orthogonally-adapted gradient-based optimization
Solar photovoltaic (PV) model parameter estimation research is a growing field of interest.
To establish accurate and reliable PV models, including single diode, double diode, three …
To establish accurate and reliable PV models, including single diode, double diode, three …
Hybrid sparrow search-exponential distribution optimization with differential evolution for parameter prediction of solar photovoltaic models
It is difficult to determine unknown solar cell and photovoltaic (PV) module parameters owing
to the nonlinearity of the characteristic current–voltage (IV) curve. Despite this, precise …
to the nonlinearity of the characteristic current–voltage (IV) curve. Despite this, precise …
Opposition-based equilibrium optimizer algorithm for identification of equivalent circuit parameters of various photovoltaic models
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 …
(PV) system require accurate and fast parameter estimation for solar cell/module models. No …
Enhancing photovoltaic parameter estimation: integration of non-linear hunting and reinforcement learning strategies with golden jackal optimizer
The advancement of Photovoltaic (PV) systems hinges on the precise optimization of their
parameters. Among the numerous optimization techniques, the effectiveness of each often …
parameters. Among the numerous optimization techniques, the effectiveness of each often …