Comparison Between PI Controller and Fuzzy Logic-Based Control Strategies for Harmonic Reduction in Grid-Integrated Wind Energy Conversion System

Lecture Notes in Electrical Engineering - Advances in Smart Grid and Renewable Energy ◽

10.1007/978-981-10-4286-7_29 ◽

2017 ◽

pp. 297-306 ◽

Cited By ~ 2

Author(s):

Ramji Tiwari ◽

N. Ramesh Babu ◽

R. Arunkrishna ◽

P. Sanjeevikumar

Keyword(s):

Fuzzy Logic ◽

Wind Energy ◽

Energy Conversion ◽

Control Strategies ◽

Pi Controller ◽

Wind Energy Conversion System ◽

Wind Energy Conversion ◽

Harmonic Reduction ◽

Conversion System ◽

Energy Conversion System

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Control Strategies for DFIG based on Wind Energy Conversion System using RST and Fuzzy Logic Controllers

2019 International Conference of Computer Science and Renewable Energies (ICCSRE) ◽

10.1109/iccsre.2019.8807524 ◽

2019 ◽

Cited By ~ 1

Author(s):

Bouchaib Rached ◽

Mustapha Elharoussi ◽

Elhassane Abdelmounim

Keyword(s):

Fuzzy Logic ◽

Wind Energy ◽

Energy Conversion ◽

Control Strategies ◽

Fuzzy Logic Controllers ◽

Wind Energy Conversion System ◽

Wind Energy Conversion ◽

Conversion System ◽

Energy Conversion System ◽

Logic Controllers

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Control of Grid Connected Wind Energy Conversion System Using Improved Fractional Order PI Controller: Real Time Implementation

Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) ◽

10.2174/2352096509666160512115408 ◽

2016 ◽

Vol 9 (2) ◽

pp. 132-141

Author(s):

Antar Beddar ◽

Hassen Bouzekri ◽

Badreddin Babess

Keyword(s):

Wind Energy ◽

Energy Conversion ◽

Real Time ◽

Fractional Order ◽

Pi Controller ◽

Wind Energy Conversion System ◽

Wind Energy Conversion ◽

Conversion System ◽

Energy Conversion System ◽

Fractional Order Pi Controller

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A FOC Based Robust Fuzzy Logic Controller for a Wind Energy Conversion System to Overcome Mechanical Parameter Uncertainties

2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) ◽

10.1109/ropec50909.2020.9258772 ◽

2020 ◽

Author(s):

Nabil Dahri ◽

Mohammed Ouassaid ◽

Driss Yousfi

Keyword(s):

Fuzzy Logic ◽

Wind Energy ◽

Energy Conversion ◽

Fuzzy Logic Controller ◽

Mechanical Parameter ◽

Parameter Uncertainties ◽

Wind Energy Conversion System ◽

Wind Energy Conversion ◽

Conversion System ◽

Energy Conversion System

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MPPT strategy using Fuzzy-PI controller applied to a standalone wind energy conversion system

Proceedings of the 3rd International Conference on Smart City Applications - SCA '18 ◽

10.1145/3286606.3286847 ◽

2018 ◽

Author(s):

F. E. Tahiri ◽

K. Chikh ◽

M. Khafallah

Keyword(s):

Wind Energy ◽

Energy Conversion ◽

Pi Controller ◽

Wind Energy Conversion System ◽

Wind Energy Conversion ◽

Conversion System ◽

Fuzzy Pi Controller ◽

Energy Conversion System

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Control strategies of wind energy conversion system-based doubly fed induction generator

10.1016/b978-0-12-820004-9.00020-6 ◽

2021 ◽

pp. 183-209

Author(s):

Boaz Wadawa ◽

Youssef Errami ◽

Abdellatif Obbadi ◽

Smail Sahnoun

Keyword(s):

Wind Energy ◽

Energy Conversion ◽

Control Strategies ◽

Induction Generator ◽

Doubly Fed Induction Generator ◽

Wind Energy Conversion System ◽

Wind Energy Conversion ◽

Conversion System ◽

Energy Conversion System ◽

Doubly Fed

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Designing a Fuzzy-PI Controller of a Stand-Alone Wind Energy Conversion System for MPPT

Innovations in Smart Cities Applications Edition 2 - Lecture Notes in Intelligent Transportation and Infrastructure ◽

10.1007/978-3-030-11196-0_89 ◽

2019 ◽

pp. 1093-1106

Author(s):

Fatima Ezzahra Tahiri ◽

Khalid Chikh ◽

Mohamed Khafallah

Keyword(s):

Wind Energy ◽

Energy Conversion ◽

Pi Controller ◽

Wind Energy Conversion System ◽

Wind Energy Conversion ◽

Conversion System ◽

Fuzzy Pi Controller ◽

Energy Conversion System

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MPPT of a standalone wind energy conversion system using magnetostrictive amorphous wire speed sensor and fuzzy logic

2017 IEEE AFRICON ◽

10.1109/afrcon.2017.8095631 ◽

2017 ◽

Cited By ~ 1

Author(s):

J. G. Ndirangu ◽

J. N. Nderu ◽

C. M. Muriithi ◽

A. M. Muhia

Keyword(s):

Fuzzy Logic ◽

Wind Energy ◽

Energy Conversion ◽

Amorphous Wire ◽

Wind Energy Conversion System ◽

Wind Energy Conversion ◽

Speed Sensor ◽

Conversion System ◽

Energy Conversion System

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Design of Fuzzy Gain Scheduled PI Controller for an Isolated Wind Energy Conversion System

International Journal of Simulation Systems Science & Technology ◽

10.5013/ijssst.a.15.01.09 ◽

2020 ◽

Author(s):

Chelliah Veeramani ◽

Gregg Mohan

Keyword(s):

Wind Energy ◽

Energy Conversion ◽

Pi Controller ◽

Wind Energy Conversion System ◽

Wind Energy Conversion ◽

Conversion System ◽

Energy Conversion System ◽

Gain Scheduled

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Artificial neural network-based control strategies for PMSG-based grid connected wind energy conversion system

International Journal of Materials and Product Technology ◽

10.1504/ijmpt.2019.10021009 ◽

2019 ◽

Vol 58 (4) ◽

pp. 323

Author(s):

Ramji Tiwari ◽

N. Ramesh Babu

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Wind Energy ◽

Energy Conversion ◽

Control Strategies ◽

Wind Energy Conversion System ◽

Wind Energy Conversion ◽

Conversion System ◽

Energy Conversion System ◽

Artificial Neural

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Fuzzy Logic Based MPPT for Permanent Magnet Synchronous Generator in wind Energy Conversion System

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2016.03.097 ◽

2016 ◽

Vol 49 (1) ◽

pp. 462-467 ◽

Cited By ~ 31

Author(s):

Ramji Tiwari ◽

N Ramesh Babu

Keyword(s):

Fuzzy Logic ◽

Wind Energy ◽

Energy Conversion ◽

Permanent Magnet ◽

Synchronous Generator ◽

Permanent Magnet Synchronous Generator ◽

Wind Energy Conversion System ◽

Wind Energy Conversion ◽

Conversion System ◽

Energy Conversion System

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