A landscape-aware particle swarm optimization for parameter identification of photovoltaic models

Y Li, K Yu, J Liang, C Yue, K Qiao - Applied Soft Computing, 2022 - Elsevier
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 …

Parameters identification of photovoltaic models using niche-based particle swarm optimization in parallel computing architecture

X Lin, Y Wu - Energy, 2020 - Elsevier
Determined parameters for photovoltaic (PV) model is of great practical significance in
prediction of output power in PV array and tracing its maximum power point. An optimization …

Classified perturbation mutation based particle swarm optimization algorithm for parameters extraction of photovoltaic models

J Liang, S Ge, B Qu, K Yu, F Liu, H Yang, P Wei… - Energy Conversion and …, 2020 - Elsevier
With the increasing demand for solar energy, accurate, reliable, and efficient parameters
extraction of photovoltaic models is becoming more significant and difficult. Accordingly, a …

Parameter estimation of photovoltaic model via parallel particle swarm optimization algorithm

J Ma, KL Man, SU Guan, TO Ting… - International journal of …, 2016 - Wiley Online Library
Recently, bio‐inspired metaheuristic algorithms have been widely used as powerful
optimization tools to estimate crucial parameters of photovoltaic (PV) models. However, the …

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 …

Parameters identification of PV solar cells and modules using flexible particle swarm optimization algorithm

SM Ebrahimi, E Salahshour, M Malekzadeh, F Gordillo - Energy, 2019 - Elsevier
The use of solar energy as a source of clean energy is increasing throughout the world.
Therefore, designing higher-quality photovoltaic cells has attracted researches. Several …

An efficient salp swarm-inspired algorithm for parameters identification of photovoltaic cell models

R Abbassi, A Abbassi, AA Heidari, S Mirjalili - Energy conversion and …, 2019 - Elsevier
Abstract Solar Photovoltaic systems (SPVSs) are becoming one of the most popular
renewable energy technology for generating significant share of electric power. With the …

Modified salp swarm optimization for parameter estimation of solar PV models

M Yaghoubi, M Eslami, M Noroozi, H Mohammadi… - Ieee …, 2022 - ieeexplore.ieee.org
The identification of parameters in solar cell models is still a major challenge in photovoltaic
(PV) system simulation and design. Because of its more basic ideas, efficiency, adaptability …

Particle swarm optimisation with adaptive mutation strategy for photovoltaic solar cell/module parameter extraction

M Merchaoui, A Sakly, MF Mimouni - Energy Conversion and Management, 2018 - Elsevier
Developing an accurate model for photovoltaic solar cell and module represents a
challenge to improve the overall efficiency of the photovoltaic systems use. Parameter …

A novel hybrid algorithm based on rat swarm optimization and pattern search for parameter extraction of solar photovoltaic models

M Eslami, E Akbari, ST Seyed Sadr… - Energy Science & …, 2022 - Wiley Online Library
Parameter extraction of photovoltaic (PV) models based on measured current–voltage data
plays an important role in the control, simulation, and optimization of PV systems. Despite …