Neuro-fuzzy and networks-based data driven model for multi-charging scenarios of plug-in-electric vehicles
In recent times, significant progress has been achieved in the domain of intelligent and eco-
friendly transportation. Electric mobility emerges as a viable and effective solution, offering …
friendly transportation. Electric mobility emerges as a viable and effective solution, offering …
Fractional-order neural control of a DFIG supplied by a two-level PWM inverter for dual-rotor wind turbine system
Energy ripples are among the common problems in renewable energies as a result of using
less efficient strategies. In this work, a new technique is suggested to control a doubly-fed …
less efficient strategies. In this work, a new technique is suggested to control a doubly-fed …
Artificial neural network grid-connected MPPT-based techniques for hybrid PV-WIND with battery energy storage system
A hybrid photovoltaic–wind–battery–microgrid system is designed and implemented based
on an artificial neural network with maximum power point tracking. The proposed method …
on an artificial neural network with maximum power point tracking. The proposed method …
Performance evaluation of ferro-fluids flooding in enhanced oil recovery operations based on machine learning
The process of enhanced oil recovery (EOR) and core flooding involves various challenges
such as preserving cores, configuring experiment setup, scaling from the laboratory to the …
such as preserving cores, configuring experiment setup, scaling from the laboratory to the …
[HTML][HTML] Harmonic measurement and analysis system for characterization of adjustable speed drives
A Arranz-Gimon, A Zorita-Lamadrid… - International Journal of …, 2024 - Elsevier
Variable speed drives, commonly employed for motor speed control, incorporate electronic
converters that emit harmonics to both the power grid and the motor-load system. These …
converters that emit harmonics to both the power grid and the motor-load system. These …
Harmonics Forecasting of Wind and Solar Hybrid Model Based on Deep Machine Learning
Solar and Wind energy based Renewable Energy Systems (RES) are one of the most
rapidly growing technologies as a means of producing clean electrical energy. Grid …
rapidly growing technologies as a means of producing clean electrical energy. Grid …
Enhancing robustness and control performance of voltage source inverters using Kalman filter adaptive observer and ANN-based model predictive controller
Power electronic converters play a crucial role in integrating distributed generation,
renewable energy sources, microgrids, and HVDC transmission networks into the grid. The …
renewable energy sources, microgrids, and HVDC transmission networks into the grid. The …
Skewness Driven DFIG's DC Link Bus Short and Open Circuit Faults Diagnosis using Rotor and Stator Currents
T Roy, DK Ray, S Chattopadhyay - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
DC link bus plays an important role in the operation of doubly fed induction generators
(DFIG) and sustainable power generation. It is used in the converter section connected …
(DFIG) and sustainable power generation. It is used in the converter section connected …
[HTML][HTML] Synchronized Measurement of the Fundamental Voltage and Harmonic, Interharmonic, and Subharmonic Components of the Electrical Grid Using an …
G Martínez-Navarro, S Orts-Grau, JC Alfonso-Gil… - Applied Sciences, 2024 - mdpi.com
The effects of harmonics, interharmonics, and subharmonics on low-voltage distribution
networks, leading to a deterioration in electrical power quality, have become more evident in …
networks, leading to a deterioration in electrical power quality, have become more evident in …
[PDF][PDF] Enhanced Backstepping Control for HESG-Based Wind Conversion Systems in MPPT Applications.
In recent years, the wind conversion system (WCS) sector has witnessed a notable surge in
the recognition of robust control methodologies. This paper undertakes a thorough …
the recognition of robust control methodologies. This paper undertakes a thorough …