A review of applications of artificial intelligent algorithms in wind farms

Y Wang, Y Yu, S Cao, X Zhang, S Gao - Artificial Intelligence Review, 2020 - Springer
Wind farms are enormous and complex control systems. It is challenging and valuable to
control and optimize wind farms. Their applications are widely used in various industries …

Artificial intelligence and machine learning in grid connected wind turbine control systems: A comprehensive review

NO Farrar, MH Ali, D Dasgupta - Energies, 2023 - mdpi.com
As grid-connected wind farms become more common in the modern power system, the
question of how to maximize wind power generation while limiting downtime has been a …

Recent trends of control strategies for doubly fed induction generator based wind turbine systems: A comparative review

S Karad, R Thakur - Archives of Computational Methods in Engineering, 2021 - Springer
There is always, a strong expectation from wind generation system to harness maximum
power as well as to have good interaction with the grid. To satisfy the increasing need of …

Expert control systems implemented in a pitch control of wind turbine: A review

EC Navarrete, MT Perea, JCJ Correa… - IEEE …, 2019 - ieeexplore.ieee.org
Wind energy is the strongest renewable energy source developed in recent decades. Being
systems that are directly connected to the grid of the electrical system, it is essential to use …

An innovative optimal RPO-FOSMC based on multi-objective grasshopper optimization algorithm for DFIG-based wind turbine to augment MPPT and FRT capabilities

AD Falehi - Chaos, Solitons & Fractals, 2020 - Elsevier
Abstract Doubly Fed Induction Generator (DFIG) with consideration of its exceptional
capabilities, ie: variable speed operation, low mechanical stresses, and excellent power …

Expert control systems for maximum power point tracking in a wind turbine with PMSG: State of the art

E Chavero-Navarrete, M Trejo-Perea… - Applied Sciences, 2019 - mdpi.com
Featured Application The article highlights a trend in the use of Maximum Power Point
Tracking controllers with Expert Systems for wind turbines, due to the complexity of the …

Improved backstepping control of a DFIG based wind energy conversion system using ant lion optimizer algorithm

Z Zeghdi, L Barazane, Y Bekakra, A Larabi - … Electrical Engineering and …, 2022 - pp.bme.hu
In this paper, an improved Backstepping control based on a recent optimization method
called Ant Lion Optimizer (ALO) algorithm for a Doubly Fed Induction Generator (DFIG) …

Evolving fuzzy neural hydrocarbon networks: A model based on organic compounds

P Souza, H Ponce, E Lughofer - Knowledge-Based Systems, 2020 - Elsevier
This paper presents a new evolving intelligent model capable of combining the techniques
and concepts of artificial neural networks, fuzzy systems and artificial hydrocarbon networks …

Stochastic parallel extreme artificial hydrocarbon networks: An implementation for fast and robust supervised machine learning in high-dimensional data

H Ponce, PV de Campos Souza, AJ Guimarães… - … Applications of Artificial …, 2020 - Elsevier
Artificial hydrocarbon networks (AHN)–a supervised learning method inspired on organic
chemical structures and mechanisms–have shown improvements in predictive power and …

An indoor predicting climate conditions approach using Internet-of-Things and artificial hydrocarbon networks

H Ponce, S Gutiérrez - Measurement, 2019 - Elsevier
The prediction and understanding of environmental conditions are of great importance to
prevent and analyze changes in environment, supporting meteorological based sectors …