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Wind Turbine Control Systems

TopicLeading institutions, researchers & key papers

This cluster of papers focuses on the integration of wind power into power systems, with a specific emphasis on the use of Doubly Fed Induction Generators, power electronics, and control strategies. The papers cover topics such as grid code requirements, frequency control, variable speed turbines, inertia emulation, maximum power tracking, and the impact of wind power on power system stability.

11
Works

How has Wind Turbine Control Systems's publication output changed over time?

ScholarIQpublication output · 2019–2024

Output grew0% over the shown period — from 1 works in 2019 to 1 in 2024.

1
1
1
201920202024

What are the most-cited papers on Wind Turbine Control Systems?

ScholarIQmost cited works
Maximum power point tracking in wind energy conversion system using radial basis function based neural network control strategy
Ravinder Kumar, Hanuman P. Agrawal, Aakash Shah, Hari Om Bansal
S2764877105. 201950 Citations
Cuckoo search algorithm based for tunning both PI and FOPID controllers for the DFIG-Wind energy conversion system
Mostafa Al‐Gabalawy, Nesreen S. Hosny, Shimaa A. Hussien
S4210235676. 202014 CitationsOPEN ACCESS
Active and reactive power vector control using neural-synergetic-super twisting controllers of induction generators for variable-speed contra-rotating wind turbine systems
Habib Benbouhenni, Laurenţiu Mihai Ionescu, Alin-Gheorghita Mazare, Dalal Zellouma, İlhami Çolak, Nicu Bizon
Measurement and Control. 202412 CitationsOPEN ACCESS

Where is Wind Turbine Control Systems research published, and who funds it?

ScholarIQvenues & funding sources

TOP JOURNALS

S276487710550
S421023567614

TOP FUNDERS

National Science Foundation
NIH
Wellcome Trust
European Research Council
Funder breakdown is a member featureSign up free to unlock

How much of the research on Wind Turbine Control Systems is open access?

ScholarIQopen access share
67%OPEN ACCESS
Gold
67%
Green
0%
Hybrid
0%
Bronze
0%
Closed
33%

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Maximum power point tracking in wind energy conversion system using radial basis function based neural network control strategy
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