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Enhancement of a grid-connected dfig wind turbine system using fractional order PI controllers

The wind velocities are unpredictable, and generating power with persistent speed is difficult which comprises mechanical stress at the rotor that leads to poor efficiency. So, variable wind power speed generation has ample significance with the Doubly Fed Induction Generator (DFIG). For a grid-conn...

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Main Authors: Veerendra, Arigela Satya, Vasavi Uma Maheswari, M., Peddakapu, Kurukuri, Punya Sekhar, Ch
Format: Article
Language:English
English
Published: Elsevier Ltd 2023
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/42901/1/Enhancement%20of%20a%20grid-connected%20DFIG%20wind%20turbine%20system.pdf
http://umpir.ump.edu.my/id/eprint/42901/2/Enhancement%20of%20a%20grid-connected%20DFIG%20wind%20turbine%20system%20using%20fractional%20Order%20PI%20Controllers_abs.pdf
http://umpir.ump.edu.my/id/eprint/42901/
https://doi.org/10.1016/j.ref.2023.100506
https://doi.org/10.1016/j.ref.2023.100506
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spelling my.ump.umpir.429012025-01-07T05:01:47Z http://umpir.ump.edu.my/id/eprint/42901/ Enhancement of a grid-connected dfig wind turbine system using fractional order PI controllers Veerendra, Arigela Satya Vasavi Uma Maheswari, M. Peddakapu, Kurukuri Punya Sekhar, Ch T Technology (General) TK Electrical engineering. Electronics Nuclear engineering The wind velocities are unpredictable, and generating power with persistent speed is difficult which comprises mechanical stress at the rotor that leads to poor efficiency. So, variable wind power speed generation has ample significance with the Doubly Fed Induction Generator (DFIG). For a grid-connected DFIG, the governing of power is done conventionally by employing vector-controlled PI regulators. Yet, the performance of PI regulators depends on system parameters, which motivates the adoption of Fractional Order PI (FOPI) regulators. Presently FOPI regulators are seizing a lot of applications with the assistance of additional tuning parameters. However, tuning FOPI regulators by conventional methods is challenging. So, initially, the Particle Swarm Optimization (PSO) method was used for tuning FOPI regulators, but the disadvantages are low convergence rate, falling into local elucidation, entailing more variables to attune, and requiring a large number of iterations. Thus, this motivates introducing the Ant Lion Optimization (ALO) algorithm in this article due to its better performance and eligibility to overcome the limitations of conventional methods. Furthermore, in the validation of the proposed algorithm, the performance parameters like DC coupling capacitor voltage, rotor Speed, active power, and reactive power with PI, FOPI, PSO-FOPI, and ALO-FOPI regulators are compared and analysed using the bode plot are presented. The time response analysis of all the controllers with PI, FOPI, PSO-FOPI, and ALO-FOPI controllers were also observed with a voltage dip. Finally, the fractional order controllers with frequency response and time response analysis show superior performance in distributed generation with advanced heuristic controllers when compared to conventional controllers. The complete work has been simulated via MATLAB/ Simulation platform. Elsevier Ltd 2023-12 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42901/1/Enhancement%20of%20a%20grid-connected%20DFIG%20wind%20turbine%20system.pdf pdf en http://umpir.ump.edu.my/id/eprint/42901/2/Enhancement%20of%20a%20grid-connected%20DFIG%20wind%20turbine%20system%20using%20fractional%20Order%20PI%20Controllers_abs.pdf Veerendra, Arigela Satya and Vasavi Uma Maheswari, M. and Peddakapu, Kurukuri and Punya Sekhar, Ch (2023) Enhancement of a grid-connected dfig wind turbine system using fractional order PI controllers. Renewable Energy Focus, 47 (100506). pp. 1-14. ISSN 1755-0084. (Published) https://doi.org/10.1016/j.ref.2023.100506 https://doi.org/10.1016/j.ref.2023.100506
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Veerendra, Arigela Satya
Vasavi Uma Maheswari, M.
Peddakapu, Kurukuri
Punya Sekhar, Ch
Enhancement of a grid-connected dfig wind turbine system using fractional order PI controllers
description The wind velocities are unpredictable, and generating power with persistent speed is difficult which comprises mechanical stress at the rotor that leads to poor efficiency. So, variable wind power speed generation has ample significance with the Doubly Fed Induction Generator (DFIG). For a grid-connected DFIG, the governing of power is done conventionally by employing vector-controlled PI regulators. Yet, the performance of PI regulators depends on system parameters, which motivates the adoption of Fractional Order PI (FOPI) regulators. Presently FOPI regulators are seizing a lot of applications with the assistance of additional tuning parameters. However, tuning FOPI regulators by conventional methods is challenging. So, initially, the Particle Swarm Optimization (PSO) method was used for tuning FOPI regulators, but the disadvantages are low convergence rate, falling into local elucidation, entailing more variables to attune, and requiring a large number of iterations. Thus, this motivates introducing the Ant Lion Optimization (ALO) algorithm in this article due to its better performance and eligibility to overcome the limitations of conventional methods. Furthermore, in the validation of the proposed algorithm, the performance parameters like DC coupling capacitor voltage, rotor Speed, active power, and reactive power with PI, FOPI, PSO-FOPI, and ALO-FOPI regulators are compared and analysed using the bode plot are presented. The time response analysis of all the controllers with PI, FOPI, PSO-FOPI, and ALO-FOPI controllers were also observed with a voltage dip. Finally, the fractional order controllers with frequency response and time response analysis show superior performance in distributed generation with advanced heuristic controllers when compared to conventional controllers. The complete work has been simulated via MATLAB/ Simulation platform.
format Article
author Veerendra, Arigela Satya
Vasavi Uma Maheswari, M.
Peddakapu, Kurukuri
Punya Sekhar, Ch
author_facet Veerendra, Arigela Satya
Vasavi Uma Maheswari, M.
Peddakapu, Kurukuri
Punya Sekhar, Ch
author_sort Veerendra, Arigela Satya
title Enhancement of a grid-connected dfig wind turbine system using fractional order PI controllers
title_short Enhancement of a grid-connected dfig wind turbine system using fractional order PI controllers
title_full Enhancement of a grid-connected dfig wind turbine system using fractional order PI controllers
title_fullStr Enhancement of a grid-connected dfig wind turbine system using fractional order PI controllers
title_full_unstemmed Enhancement of a grid-connected dfig wind turbine system using fractional order PI controllers
title_sort enhancement of a grid-connected dfig wind turbine system using fractional order pi controllers
publisher Elsevier Ltd
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/42901/1/Enhancement%20of%20a%20grid-connected%20DFIG%20wind%20turbine%20system.pdf
http://umpir.ump.edu.my/id/eprint/42901/2/Enhancement%20of%20a%20grid-connected%20DFIG%20wind%20turbine%20system%20using%20fractional%20Order%20PI%20Controllers_abs.pdf
http://umpir.ump.edu.my/id/eprint/42901/
https://doi.org/10.1016/j.ref.2023.100506
https://doi.org/10.1016/j.ref.2023.100506
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score 13.232389

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