Hybrid fractional fuzzy PID design for MPPT-pitch control of wind turbine-based bat algorithm

The power quality and protection enhancement of wind turbine becomes an important paramount. This requires a competitive controller with high performances. For this purpose, the paper presents a novel hybrid controller named fractional fuzzy PID (FFPID) strategy tunning with an efficient metaheurist...

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Published inElectrical engineering Vol. 102; no. 4; pp. 2149 - 2160
Main Authors Maroufi, Oussama, Choucha, Abdelghani, Chaib, Lakhdar
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2020
Springer Nature B.V
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ISSN0948-7921
1432-0487
DOI10.1007/s00202-020-01007-5

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Abstract The power quality and protection enhancement of wind turbine becomes an important paramount. This requires a competitive controller with high performances. For this purpose, the paper presents a novel hybrid controller named fractional fuzzy PID (FFPID) strategy tunning with an efficient metaheuristic optimization bat algorithm (BA) for controlling the wind turbine equipped with permanent magnet synchronous generator (WT-PMSG). The main control objectives are to drive WT-PMSG for extracting the maximum power point (MPPT) in the low range of weather conditions and further to protect the wind turbine in high-wind region using pitch angle control. The performance of proposed strategy is analysed for all regions low–high wind speed disturbances. The obtained results are obviously proved that the optimal hybrid fractional-order fuzzy PID controller is highly better than the optimal classical PID, fuzzy PID (FPID) and fractional-order PID (FOPID) controllers in terms of response, overshoot and indices performances. Further, the WT-PMSG is effectively controlled at different conditions of wind velocities by the proposed scheme.
AbstractList The power quality and protection enhancement of wind turbine becomes an important paramount. This requires a competitive controller with high performances. For this purpose, the paper presents a novel hybrid controller named fractional fuzzy PID (FFPID) strategy tunning with an efficient metaheuristic optimization bat algorithm (BA) for controlling the wind turbine equipped with permanent magnet synchronous generator (WT-PMSG). The main control objectives are to drive WT-PMSG for extracting the maximum power point (MPPT) in the low range of weather conditions and further to protect the wind turbine in high-wind region using pitch angle control. The performance of proposed strategy is analysed for all regions low–high wind speed disturbances. The obtained results are obviously proved that the optimal hybrid fractional-order fuzzy PID controller is highly better than the optimal classical PID, fuzzy PID (FPID) and fractional-order PID (FOPID) controllers in terms of response, overshoot and indices performances. Further, the WT-PMSG is effectively controlled at different conditions of wind velocities by the proposed scheme.
Author Maroufi, Oussama
Choucha, Abdelghani
Chaib, Lakhdar
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  organization: Laboratory of Power Systems Control and Electrical Networks (LACoSERE), University of Amar Thelidji
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Issue 4
Keywords Pitch angle
Fractional fuzzy PID controller
Maximum power point tracking
Wind turbine
Permanent magnet synchronous generator
Language English
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SubjectTerms Algorithms
Controllers
Economics and Management
Electrical Engineering
Electrical Machines and Networks
Energy Policy
Engineering
Fuzzy control
Heuristic methods
Maximum power
Optimization
Original Paper
Permanent magnets
Pitch (inclination)
Power Electronics
Proportional integral derivative
Turbines
Weather
Wind speed
Wind turbines
Title Hybrid fractional fuzzy PID design for MPPT-pitch control of wind turbine-based bat algorithm
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