Optimal Power Generation of Variable Wind Turbine System Using Linear Quadratic Regulator

Khalid Abdullah Khan; Md Muzakkir Quamar; Muhammad Majid Gulzar; Muhammad Khalid

doi:10.1109/ETFG55873.2023.10408440

Optimal Power Generation of Variable Wind Turbine System Using Linear Quadratic Regulator

Khalid Abdullah Khan^*
, Md Muzakkir Quamar
, Muhammad Majid Gulzar
, Muhammad Khalid

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Wind energy source is considered as a viable alternative power generation for establishing a sustainable electricity grid. However, numerous challenges associated with variable and unpredictable output power generation hinder its potential. In this paper, regulation of output power generation of a multi-input-multi-output variable speed wind turbine is performed using linear quadratic regulator (LQR). Considering different wind speed scenarios, the operating range of the wind turbine is achieved. The optimal operation is determined based on the trade-off between the power conversion based on the mechanical fatigue due to the variable loading conditions experienced by the wind generation system. Based on the results obtained the developed LQR controller proves to regulate optimal performance of the variable speed wind turbine.

Original language	English
Title of host publication	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665471640
DOIs	https://doi.org/10.1109/ETFG55873.2023.10408440
State	Published - 2023
Event	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 - Wollongong, Australia Duration: 3 Dec 2023 → 6 Dec 2023

Publication series

Name	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

Conference

Conference	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
Country/Territory	Australia
City	Wollongong
Period	3/12/23 → 6/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Linear quadratic control
dynamic modelling
optimization
output power generation
variable speed wind turbine

ASJC Scopus subject areas

Artificial Intelligence
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ETFG55873.2023.10408440

Cite this

Khan, K. A., Muzakkir Quamar, M., Gulzar, M. M., & Khalid, M. (2023). Optimal Power Generation of Variable Wind Turbine System Using Linear Quadratic Regulator. In 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFG55873.2023.10408440

Khan, Khalid Abdullah ; Muzakkir Quamar, Md ; Gulzar, Muhammad Majid et al. / Optimal Power Generation of Variable Wind Turbine System Using Linear Quadratic Regulator. 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023).

@inproceedings{06c83e60380a47868574d9665b078da3,

title = "Optimal Power Generation of Variable Wind Turbine System Using Linear Quadratic Regulator",

abstract = "Wind energy source is considered as a viable alternative power generation for establishing a sustainable electricity grid. However, numerous challenges associated with variable and unpredictable output power generation hinder its potential. In this paper, regulation of output power generation of a multi-input-multi-output variable speed wind turbine is performed using linear quadratic regulator (LQR). Considering different wind speed scenarios, the operating range of the wind turbine is achieved. The optimal operation is determined based on the trade-off between the power conversion based on the mechanical fatigue due to the variable loading conditions experienced by the wind generation system. Based on the results obtained the developed LQR controller proves to regulate optimal performance of the variable speed wind turbine.",

keywords = "Linear quadratic control, dynamic modelling, optimization, output power generation, variable speed wind turbine",

author = "Khan, \{Khalid Abdullah\} and \{Muzakkir Quamar\}, Md and Gulzar, \{Muhammad Majid\} and Muhammad Khalid",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 ; Conference date: 03-12-2023 Through 06-12-2023",

year = "2023",

doi = "10.1109/ETFG55873.2023.10408440",

language = "English",

series = "2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023",

address = "United States",

}

Khan, KA, Muzakkir Quamar, M, Gulzar, MM & Khalid, M 2023, Optimal Power Generation of Variable Wind Turbine System Using Linear Quadratic Regulator. in 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Wollongong, Australia, 3/12/23. https://doi.org/10.1109/ETFG55873.2023.10408440

Optimal Power Generation of Variable Wind Turbine System Using Linear Quadratic Regulator. / Khan, Khalid Abdullah; Muzakkir Quamar, Md; Gulzar, Muhammad Majid et al.
2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimal Power Generation of Variable Wind Turbine System Using Linear Quadratic Regulator

AU - Khan, Khalid Abdullah

AU - Muzakkir Quamar, Md

AU - Gulzar, Muhammad Majid

AU - Khalid, Muhammad

PY - 2023

Y1 - 2023

N2 - Wind energy source is considered as a viable alternative power generation for establishing a sustainable electricity grid. However, numerous challenges associated with variable and unpredictable output power generation hinder its potential. In this paper, regulation of output power generation of a multi-input-multi-output variable speed wind turbine is performed using linear quadratic regulator (LQR). Considering different wind speed scenarios, the operating range of the wind turbine is achieved. The optimal operation is determined based on the trade-off between the power conversion based on the mechanical fatigue due to the variable loading conditions experienced by the wind generation system. Based on the results obtained the developed LQR controller proves to regulate optimal performance of the variable speed wind turbine.

AB - Wind energy source is considered as a viable alternative power generation for establishing a sustainable electricity grid. However, numerous challenges associated with variable and unpredictable output power generation hinder its potential. In this paper, regulation of output power generation of a multi-input-multi-output variable speed wind turbine is performed using linear quadratic regulator (LQR). Considering different wind speed scenarios, the operating range of the wind turbine is achieved. The optimal operation is determined based on the trade-off between the power conversion based on the mechanical fatigue due to the variable loading conditions experienced by the wind generation system. Based on the results obtained the developed LQR controller proves to regulate optimal performance of the variable speed wind turbine.

KW - Linear quadratic control

KW - dynamic modelling

KW - optimization

KW - output power generation

KW - variable speed wind turbine

UR - https://www.scopus.com/pages/publications/85185806603

U2 - 10.1109/ETFG55873.2023.10408440

DO - 10.1109/ETFG55873.2023.10408440

M3 - Conference contribution

AN - SCOPUS:85185806603

T3 - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

BT - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

Y2 - 3 December 2023 through 6 December 2023

ER -

Khan KA, Muzakkir Quamar M, Gulzar MM , Khalid M. Optimal Power Generation of Variable Wind Turbine System Using Linear Quadratic Regulator. In 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023). doi: 10.1109/ETFG55873.2023.10408440

Optimal Power Generation of Variable Wind Turbine System Using Linear Quadratic Regulator

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this