[HTML][HTML] Modified grey wolf optimizer based MPPT design and experimentally performance evaluations for wind energy systems
The method that aims to operate the wind energy system (WES) at the maximum power point
(MPP) is called the maximum power point tracking (MPPT) method in the literature. The grey …
(MPP) is called the maximum power point tracking (MPPT) method in the literature. The grey …
Effective wind speed estimation study of the wind turbine based on deep learning
P Chen, D Han - Energy, 2022 - Elsevier
Wind speed is the driver of wind turbines, and the precise estimate of that makes it possible
to improve the control effects and the efficiency of energy production. This paper proposes a …
to improve the control effects and the efficiency of energy production. This paper proposes a …
Thermodynamic theorical and parametric analysis of a photovoltaic-photo/thermochemistry synergistic conversion system with full spectrum cascading utilization
H Wu, S Shan, J Tian, G Zhang, Z Zhou - Energy Conversion and …, 2024 - Elsevier
Solar spectral splitting and cascade utilization is an efficient way to improve solar energy
conversion efficiency. This study analyzes the photovoltaic-photo/thermochemistry …
conversion efficiency. This study analyzes the photovoltaic-photo/thermochemistry …
A national risk analysis model (NRAM) for the assessment of COVID‐19 epidemic
Q Deng, X **ao, L Zhu, X Cao, K Liu, H Zhang… - Risk …, 2023 - Wiley Online Library
COVID‐19 has caused a critical health concern and severe economic crisis worldwide. With
multiple variants, the epidemic has triggered waves of mass transmission for nearly 3 years …
multiple variants, the epidemic has triggered waves of mass transmission for nearly 3 years …
A study of conventional and modern algorithms employed for MPPT in wind energy conversion systems: A review
R Alhamdawee, MM Hussain - 2024 3rd International …, 2024 - ieeexplore.ieee.org
The production of electrical energy from renewable sources has become the most sought-
after technique internationally as a result of growing concerns about environmental issues …
after technique internationally as a result of growing concerns about environmental issues …
Optimization of an axial coarse powder separator for low-density lignite based on the optimal seeking method
H Li, Z Song, A Zhang, Z Sun, L ** - Particuology, 2023 - Elsevier
As a major equipment for thermal power plants, the main function of coarse powder
separators is to separate particles into size groups according to particle diameter. With the …
separators is to separate particles into size groups according to particle diameter. With the …
PV Fed water pump system with golden section search and incremental conductance algorithms
H Alrajoubi, S Oncu - 2023 15th International Conference on …, 2023 - ieeexplore.ieee.org
In this study, a novel hybrid maximum power point tracking (MPPT) algorithm is proposed for
a photovoltaic (PV) fed brushless DC (BLDC) motor driven water pump. A proper design with …
a photovoltaic (PV) fed brushless DC (BLDC) motor driven water pump. A proper design with …
A Robust Adaptive Extremum-Seeking-Based Optimal Torque Curve Tracking for Wind Turbine Generators
Optimal torque curve control is a common technique used to track the maximum power point
of wind energy systems without direct wind measurements. However, it relies on precise …
of wind energy systems without direct wind measurements. However, it relies on precise …
Predicting the Optimum Performance of a Vertical-Axis Savonius Wind Rotor With Parametric Modeling Using Artificial Neural Network and Golden Section Method
This paper explores the function approximation characteristics of Artificial Neural Network
(ANN) by implementing it on the vertical-axis Savonius wind rotor technology. In this regard …
(ANN) by implementing it on the vertical-axis Savonius wind rotor technology. In this regard …
A new initial point search algorithm for bayesian calibration with insufficient statistical information: greedy stochastic section search
Abstract Digital Twin (DTw) model is a numerical model in a virtual world that supports
engineer decisions using observed data from a real system. However, uncertainty in the …
engineer decisions using observed data from a real system. However, uncertainty in the …