[HTML][HTML] Sizing, optimization, control and energy management of hybrid renewable energy system—A review

C Ammari, D Belatrache, B Touhami… - Energy and Built …, 2022 - Elsevier
To meet fast growing in energy demand, all energy sources have to be exploited.
Renewables energies are unlimited and clean but the most problem with them is their …

Analysis of fuel cell integration with hybrid microgrid systems for clean energy: A comparative review

AH Tariq, SAA Kazmi, M Hassan, SAM Ali… - International Journal of …, 2023 - Elsevier
Microgrids have received a lot of attention in the past few decades and researchers are
evaluating the integration of renewable resources especially fuel cells to overcome the …

State of the art perturb and observe MPPT algorithms based wind energy conversion systems: A technology review

HHH Mousa, AR Youssef, EEM Mohamed - International Journal of …, 2021 - Elsevier
To cope with the stochastic wind nature, it is essential to harvest the maximum power by the
wind energy conversion system (WECS). Therefore, this article presents an overview of the …

A review of maximum power point tracking algorithms for wind energy conversion systems

J Pande, P Nasikkar, K Kotecha… - Journal of Marine Science …, 2021 - mdpi.com
Renewable energy resources are gaining a lot of popularity. Several researchers have
worked on the tracking and extraction of energy from these sources. In the past few decades …

Optimal sizing, control, and management strategies for hybrid renewable energy systems: A comprehensive review

AA Khan, AF Minai, RK Pachauri, H Malik - Energies, 2022 - mdpi.com
To meet the expanding energy demand, all available energy sources must be utilized.
Renewable energies are both eternal and natural, but their major downside is their …

[HTML][HTML] Wind turbine pitch reinforcement learning control improved by PID regulator and learning observer

JE Sierra-Garcia, M Santos, R Pandit - Engineering Applications of Artificial …, 2022 - Elsevier
Wind turbine (WT) pitch control is a challenging issue due to the non-linearities of the wind
device and its complex dynamics, the coupling of the variables and the uncertainty of the …

[HTML][HTML] Adaptive ML-based technique for renewable energy system power forecasting in hybrid PV-Wind farms power conversion systems

MH Zafar, NM Khan, M Mansoor, AF Mirza… - Energy Conversion and …, 2022 - Elsevier
Large scale integration of renewable energy system with classical electrical power
generation system requires a precise balance to maintain and optimize the supply–demand …

[HTML][HTML] Archimedes optimization algorithm based maximum power point tracker for wind energy generation system

A Fathy, AG Alharbi, S Alshammari… - Ain Shams Engineering …, 2022 - Elsevier
Improving the operation of wind energy generation system is a big challenge especially
when it operates under unstable weather conditions. Therefore, installing a tracker for …

[HTML][HTML] Fixed-time observer-based control of DFIG-based wind energy conversion systems for maximum power extraction

PA Hosseinabadi, H Pota, S Mekhilef… - International Journal of …, 2023 - Elsevier
To extract maximum power from the available wind energy, it is necessary that the doubly-
fed induction generator (DFIG) based wind energy conversion system (WECS) outputs that …

Deep learning and fuzzy logic to implement a hybrid wind turbine pitch control

JE Sierra-Garcia, M Santos - Neural Computing and Applications, 2022 - Springer
This work focuses on the control of the pitch angle of wind turbines. This is not an easy task
due to the nonlinearity, the complex dynamics, and the coupling between the variables of …