MPPCEDE: multi-population parallel co-evolutionary differential evolution for parameter optimization

Y Song, D Wu, W Deng, XZ Gao, T Li, B Zhang… - Energy Conversion and …, 2021 - Elsevier
In this paper, a novel multi-population parallel co-evolutionary differential evolution, named
MPPCEDE, is proposed to optimize parameters of photovoltaic (PV) models and enhance …

Parameters estimation of solar photovoltaic models via a self-adaptive ensemble-based differential evolution

J Liang, K Qiao, K Yu, S Ge, B Qu, R Xu, K Li - Solar Energy, 2020 - Elsevier
Photovoltaic (PV) system as a vital element in the utilize of solar energy, its optimization,
control, and simulation are significant. The performance of the PV system is mainly …

A population diversity-controlled differential evolution for parameter estimation of solar photovoltaic models

Y Yu, K Wang, T Zhang, Y Wang, C Peng… - … Energy Technologies and …, 2022 - Elsevier
The cleanliness and renewability of photovoltaic (PV) system make it stand out as a
promising energy source. However, limited by the developments of PV equipment, the …

Extracting accurate parameters of photovoltaic cell models via elite learning adaptive differential evolution

Z Gu, G Xiong, X Fu, AW Mohamed, MA Al-Betar… - Energy Conversion and …, 2023 - Elsevier
Photovoltaic power generation is becoming increasingly vital as the global call for
environmental protection rises. Establishing an equivalent model for a photovoltaic cell and …

Parameters identification of photovoltaic models using a differential evolution algorithm based on elite and obsolete dynamic learning

J Zhou, Y Zhang, Y Zhang, WL Shang, Z Yang, W Feng - Applied Energy, 2022 - Elsevier
The performance of photovoltaic (PV) cell is affected by the model structure and
corresponding parameters. However, these parameters are adjustable and variable, which …

Parameters identification of photovoltaic models using a multi-strategy success-history-based adaptive differential evolution

Q Hao, Z Zhou, Z Wei, G Chen - IEEE Access, 2020 - ieeexplore.ieee.org
Parameters identification of photovoltaic (PV) models based on measured current-voltage
characteristics curves is significant for the simulation, evaluation and control of PV systems …

A state-of-the-art differential evolution algorithm for parameter estimation of solar photovoltaic models

S Gao, K Wang, S Tao, T Jin, H Dai, J Cheng - Energy Conversion and …, 2021 - Elsevier
Photovoltaic (PV) generation systems are vital to the utilization of the sustainable and
pollution-free solar energy. However, the parameter estimation of PV systems remains very …

Enhanced success history adaptive DE for parameter optimization of photovoltaic models

Y Song, D Wu, A Wagdy Mohamed, X Zhou… - …, 2021 - Wiley Online Library
In the past few decades, a lot of optimization methods have been applied in estimating the
parameter of photovoltaic (PV) models and obtained better results, but these methods still …

[HTML][HTML] Heterogeneous differential evolution algorithm for parameter estimation of solar photovoltaic models

D Wang, X Sun, H Kang, Y Shen, Q Chen - Energy Reports, 2022 - Elsevier
The behavior of a photovoltaic (PV) system can be derived from its current–voltage
characteristics, depending on its unknown circuit model parameters. It is significant to …

A robust method based on reinforcement learning and differential evolution for the optimal photovoltaic parameter extraction

X Yu, J Zhou - Applied Soft Computing, 2023 - Elsevier
It is crucial to identify the optimal parameters of Photovoltaic (PV) models with the purpose of
evaluating, controlling, and improving PV systems. Lots of optimization algorithms have …