Optimal PID and FOPID Based Pitch Angle Control of Wind Generation System

Md Muzakkir Quamar; Khalid Abdullah Khan; Bo Liu; Muhammad Khalid

doi:10.1109/ETFG55873.2023.10407371

Optimal PID and FOPID Based Pitch Angle Control of Wind Generation System

Md Muzakkir Quamar^*, Khalid Abdullah Khan, Bo Liu, Muhammad Khalid

^*Corresponding author for this work

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

Abstract

Utilization of wind energy source is among the most preferred alternative electricity generation. Typically, proportinal-integral-derivative (PID) controllers are implemented for pitch angle control of the wind turbines. The parameters of such PID controllers are derived by the designer based on experience which is subjected to being non-optimal. Therefore, a more effective controller is needed. In this paper, an optimal fractional order PID controller (FOPID) is designed. Further the results of PID and FOPID controller is compared. The gain parameters of both the PID and FOPID controller is obtained using heuristic optimization technique (genetic algorithm). The results obtained shows the effectiveness of optimal FOPID over optimal PID under normal conditions as well as under the effect of disturbances.

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/ETFG55873.2023.10407371
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.

Keywords

Fractional order PID controller
Wind generation system
pitch angle control

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

UN SDGs

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

Access to Document

10.1109/ETFG55873.2023.10407371

Cite this

Quamar, M. M., Abdullah Khan, K., Liu, B., & Khalid, M. (2023). Optimal PID and FOPID Based Pitch Angle Control of Wind Generation System. 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/ETFG55873.2023.10407371

Quamar, Md Muzakkir ; Abdullah Khan, Khalid ; Liu, Bo et al. / Optimal PID and FOPID Based Pitch Angle Control of Wind Generation System. 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).

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title = "Optimal PID and FOPID Based Pitch Angle Control of Wind Generation System",

abstract = "Utilization of wind energy source is among the most preferred alternative electricity generation. Typically, proportinal-integral-derivative (PID) controllers are implemented for pitch angle control of the wind turbines. The parameters of such PID controllers are derived by the designer based on experience which is subjected to being non-optimal. Therefore, a more effective controller is needed. In this paper, an optimal fractional order PID controller (FOPID) is designed. Further the results of PID and FOPID controller is compared. The gain parameters of both the PID and FOPID controller is obtained using heuristic optimization technique (genetic algorithm). The results obtained shows the effectiveness of optimal FOPID over optimal PID under normal conditions as well as under the effect of disturbances.",

keywords = "Fractional order PID controller, Wind generation system, pitch angle control",

author = "Quamar, {Md Muzakkir} and {Abdullah Khan}, Khalid and Bo Liu 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/ETFG55873.2023.10407371",

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",

}

Quamar, MM, Abdullah Khan, K, Liu, B & Khalid, M 2023, Optimal PID and FOPID Based Pitch Angle Control of Wind Generation System. 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/ETFG55873.2023.10407371

Optimal PID and FOPID Based Pitch Angle Control of Wind Generation System. / Quamar, Md Muzakkir; Abdullah Khan, Khalid; Liu, Bo 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 PID and FOPID Based Pitch Angle Control of Wind Generation System

AU - Quamar, Md Muzakkir

AU - Abdullah Khan, Khalid

AU - Liu, Bo

AU - Khalid, Muhammad

PY - 2023

Y1 - 2023

N2 - Utilization of wind energy source is among the most preferred alternative electricity generation. Typically, proportinal-integral-derivative (PID) controllers are implemented for pitch angle control of the wind turbines. The parameters of such PID controllers are derived by the designer based on experience which is subjected to being non-optimal. Therefore, a more effective controller is needed. In this paper, an optimal fractional order PID controller (FOPID) is designed. Further the results of PID and FOPID controller is compared. The gain parameters of both the PID and FOPID controller is obtained using heuristic optimization technique (genetic algorithm). The results obtained shows the effectiveness of optimal FOPID over optimal PID under normal conditions as well as under the effect of disturbances.

AB - Utilization of wind energy source is among the most preferred alternative electricity generation. Typically, proportinal-integral-derivative (PID) controllers are implemented for pitch angle control of the wind turbines. The parameters of such PID controllers are derived by the designer based on experience which is subjected to being non-optimal. Therefore, a more effective controller is needed. In this paper, an optimal fractional order PID controller (FOPID) is designed. Further the results of PID and FOPID controller is compared. The gain parameters of both the PID and FOPID controller is obtained using heuristic optimization technique (genetic algorithm). The results obtained shows the effectiveness of optimal FOPID over optimal PID under normal conditions as well as under the effect of disturbances.

KW - Fractional order PID controller

KW - Wind generation system

KW - pitch angle control

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DO - 10.1109/ETFG55873.2023.10407371

M3 - Conference contribution

AN - SCOPUS:85185774264

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

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Quamar MM, Abdullah Khan K, Liu B, Khalid M. Optimal PID and FOPID Based Pitch Angle Control of Wind Generation System. 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/ETFG55873.2023.10407371

Optimal PID and FOPID Based Pitch Angle Control of Wind Generation System

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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Cite this