A novel secured multi-access edge computing based vanet with neuro fuzzy systems based blockchain framework

M Poongodi, S Bourouis, AN Ahmed… - Computer …, 2022 - Elsevier
In vehicle ad-hoc networks, the progression of wireless communication technology to 6G,
overcomes storage, processing, privacy, and power limits to create an efficient and …

[HTML][HTML] artificial intelligence control system applied in smart grid integrated doubly fed induction generator-based wind turbine: A review

RK Behara, AK Saha - Energies, 2022 - mdpi.com
Wind-driven turbines utilizing the doubly-fed induction generators aligned with the
progressed IEC 61400 series standards have engrossed specific consideration as of their …

A review and comparative analysis of maximum power point tracking control algorithms for wind energy conversion systems

YK Teklehaimanot, FK Akingbade, BC Ubochi… - International Journal of …, 2024 - Springer
In the current era, renewable energy has emerged as a vital alternative to fossil fuels, driven
by the repercussions of global warming and the depleting supply of fossil fuels. Among …

Hybrid optimized-ANFIS based MPPT for hybrid microgrid using zebra optimization algorithm and artificial gorilla troops optimizer

MM Elymany, MA Enany, NA Elsonbaty - Energy Conversion and …, 2024 - Elsevier
This paper presents an effective hybrid renewable energy system. This system utilizes
primary energy sources represented by both photovoltaic (PV) and wind energy conversion …

Self-adapting PI controller for grid-connected DFIG wind turbines based on recurrent neural network optimization control under unbalanced grid faults

E Chetouani, Y Errami, A Obbadi, S Sahnoun - Electric Power Systems …, 2023 - Elsevier
This paper suggests the Hidden Layer Recurrent Neural Network (HLRNN) for controlling a
wind power generation system based on a dual-fed induction generator. The generator's …

[HTML][HTML] Modeling and control strategy of wind energy conversion system with grid-connected doubly-fed induction generator

AA Chhipą, P Chakrabarti, V Bolshev, T Chakrabarti… - Energies, 2022 - mdpi.com
The most prominent and rapidly increasing source of electrical power generation, wind
energy conversion systems (WECS), can significantly improve the situation with regard to …

Fractional-order neural control of a DFIG supplied by a two-level PWM inverter for dual-rotor wind turbine system

H Benbouhenni, I Colak, N Bizon… - Measurement and …, 2024 - journals.sagepub.com
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 …

MPPT control of grid connected DFIG at variable wind speed

E Bekiroglu, MD Yazar - Energies, 2022 - mdpi.com
In this study, maximum power point tracking (MPPT) control of a grid-connected doubly fed
induction generated (DFIG)-based wind energy conversion system (WECS) at variable wind …

Adaptive neuro fuzzy technology to enhance PID performances within VCA for grid-connected wind system under nonlinear behaviors: FPGA hardware …

M Hermassi, S Krim, Y Kraiem, MA Hajjaji - Computers and Electrical …, 2024 - Elsevier
Abstract Wind Energy Conversion Systems (WECSs) exhibit nonlinear behavior due to
internal and external disturbances, which can significantly impact the control performance …

Evaluating the efficacy of intelligent methods for maximum power point tracking in wind energy harvesting systems

DA Umar, G Alkawsi, NLM Jailani, MA Alomari… - Processes, 2023 - mdpi.com
As wind energy is widely available, an increasing number of individuals, especially in off-
grid rural areas, are adopting it as a dependable and sustainable energy source. The …