[HTML][HTML] Sliding mode control of wind energy conversion systems: Trends and applications

Y Mousavi, G Bevan, IB Kucukdemiral… - … and Sustainable Energy …, 2022 - Elsevier
Motivated by the increasing concerns over environmental challenges such as global
warming and exhaustion of fossil-fuel reserves, the renewable energy industry has become …

Multi-objective particle swarm optimization with multi-mode collaboration based on reinforcement learning for path planning of unmanned air vehicles

X Zhang, S **a, X Li, T Zhang - Knowledge-Based Systems, 2022 - Elsevier
In order to solve the multiple unmanned aerial vehicles (UAVs) collaborative path planning
problem under complex environments with multiple constraints, the multi-objective particle …

[HTML][HTML] Optimal load frequency control of island microgrids via a PID controller in the presence of wind turbine and PV

R Alayi, F Zishan, SR Seyednouri, R Kumar… - Sustainability, 2021 - mdpi.com
This article studied the load frequency control (LFC) of a multi-source microgrid with the
presence of renewable energy sources. To maintain a sustainable power supply, the …

Arithmetic optimization algorithm based maximum power point tracking for grid-connected photovoltaic system

MAE Mohamed, S Nasser Ahmed… - Scientific Reports, 2023 - nature.com
This paper suggests an optimal maximum power point tracking (MPPT) control scheme for a
grid-connected photovoltaic (PV) system using the arithmetic optimization algorithm (AOA) …

Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting

EON Jnr, YY Ziggah, S Relvas - Sustainable Cities and Society, 2021 - Elsevier
Availability of electrical energy affects many facets of an entire economy of a country. This
has made short-term electrical load forecasting an important area in recent years for policy …

[HTML][HTML] Integer and fractional-order sliding mode control schemes in wind energy conversion systems: Comprehensive review, comparison, and technical insight

I Sami, S Ullah, L Khan, A Al-Durra, JS Ro - Fractal and Fractional, 2022 - mdpi.com
The technological development in wind energy conversion systems (WECSs) places
emphasis on the injection of wind power into the grid in a smoother and robust way. Sliding …

Nonlinear observer with reduced sensors for WECS involving Vienna rectifiers—Theoretical design and experimental evaluation

A Mansouri, A El Magri, R Lajouad, F Giri… - Electric Power Systems …, 2023 - Elsevier
This paper presents a novel sensorless high-gain observer for wind energy conversion
systems (WECS) incorporating Vienna rectifiers. Vienna rectifiers offer several advantages …

Particle ranking: An efficient method for multi-objective particle swarm optimization feature selection

A Rashno, M Shafipour, S Fadaei - Knowledge-based systems, 2022 - Elsevier
This paper presents a novel multi-objective particle swarm optimization feature selection
method. For this task, feature vectors are decoded as particles and ranked in a two …

Fractional-fuzzy PID control approach of photovoltaic-wire feeder system (PV-WFS): Simulation and HIL-based experimental investigation

B Babes, F Albalawi, N Hamouda, S Kahla… - IEEE …, 2021 - ieeexplore.ieee.org
The utilization of solar photovoltaic (PV) generator as a power source for wire feeder
systems (WFSs) of arc welding machines is one of the promising domains in solar PV …

Improved hardware implementation of a TSR based MPPT algorithm for a low cost connected wind turbine emulator under unbalanced wind speeds

D Zouheyr, B Lotfi, B Abdelmadjid - Energy, 2021 - Elsevier
This paper presents the design, modeling, and the experimental build of a 1.5 kW relatively
low-cost wind turbine emulator (WTE), based on the variable speed wind power system …