A comparative study of DFIG-based wind energy conversion systems with Fuzzy-PID and Fuzzy-logic controllers

Welcome Khulekani Ntuli; Gulshan Sharma; Musasa Kabeya

doi:10.1109/PowerAfrica53997.2022.9905240

A comparative study of DFIG-based wind energy conversion systems with Fuzzy-PID and Fuzzy-logic controllers

Welcome Khulekani Ntuli
, Gulshan Sharma
, Musasa Kabeya

Durban University of Technology

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

4 Citations (Scopus)

Abstract

This article explores and compares the dynamic performance of two wind energy conversion systems (WECS): (1) the doubly fed induction generator (DFIG) based WECS incorporating voltage source converter (VSC) with a fuzzy-logic controller; (2) the DFIG based WECS incorporating VSC with a fuzzy-proportional integral derivative (PID) controller. This is done to reduce steady-state error while also reducing overshoot and undershoot oscillations and settling time of the voltage/current or power out signals and dc-link voltage. The grid-side converter is used to adjust the dc-link voltage and reactive power to their respective reference values. In addition, the rotor side converter regulates the DFIG's rotor speed in order to maintain active power output. The vector control approach is applied to obtain adequate system control. MATLAB/SIMULINK is used to simulate the control system. The simulation findings indicated that the DFIG-based WECS with a fuzzy-PID controller outperformed more effectively than the DFIG-based WECS with fuzzy logic controller.

Original language	English
Title of host publication	2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665466394
DOIs	https://doi.org/10.1109/PowerAfrica53997.2022.9905240
Publication status	Published - 2022
Externally published	Yes
Event	2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022 - Kigali, Rwanda Duration: 22 Aug 2022 → 26 Aug 2022

Publication series

Name	2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022

Conference

Conference	2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022
Country/Territory	Rwanda
City	Kigali
Period	22/08/22 → 26/08/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

DFIG
Fuzzy-logic controller
Fuzzy-PID controller
Reactive power
wecs
Wind turbine

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

Access to Document

10.1109/PowerAfrica53997.2022.9905240

Cite this

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title = "A comparative study of DFIG-based wind energy conversion systems with Fuzzy-PID and Fuzzy-logic controllers",

abstract = "This article explores and compares the dynamic performance of two wind energy conversion systems (WECS): (1) the doubly fed induction generator (DFIG) based WECS incorporating voltage source converter (VSC) with a fuzzy-logic controller; (2) the DFIG based WECS incorporating VSC with a fuzzy-proportional integral derivative (PID) controller. This is done to reduce steady-state error while also reducing overshoot and undershoot oscillations and settling time of the voltage/current or power out signals and dc-link voltage. The grid-side converter is used to adjust the dc-link voltage and reactive power to their respective reference values. In addition, the rotor side converter regulates the DFIG's rotor speed in order to maintain active power output. The vector control approach is applied to obtain adequate system control. MATLAB/SIMULINK is used to simulate the control system. The simulation findings indicated that the DFIG-based WECS with a fuzzy-PID controller outperformed more effectively than the DFIG-based WECS with fuzzy logic controller.",

keywords = "DFIG, Fuzzy-logic controller, Fuzzy-PID controller, Reactive power, wecs, Wind turbine",

author = "Ntuli, \{Welcome Khulekani\} and Gulshan Sharma and Musasa Kabeya",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022 ; Conference date: 22-08-2022 Through 26-08-2022",

year = "2022",

doi = "10.1109/PowerAfrica53997.2022.9905240",

language = "English",

series = "2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022",

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address = "United States",

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Ntuli, WK, Sharma, G & Kabeya, M 2022, A comparative study of DFIG-based wind energy conversion systems with Fuzzy-PID and Fuzzy-logic controllers. in 2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022. 2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022, Kigali, Rwanda, 22/08/22. https://doi.org/10.1109/PowerAfrica53997.2022.9905240

A comparative study of DFIG-based wind energy conversion systems with Fuzzy-PID and Fuzzy-logic controllers. / Ntuli, Welcome Khulekani; Sharma, Gulshan; Kabeya, Musasa.
2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022).

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

TY - GEN

T1 - A comparative study of DFIG-based wind energy conversion systems with Fuzzy-PID and Fuzzy-logic controllers

AU - Ntuli, Welcome Khulekani

AU - Sharma, Gulshan

AU - Kabeya, Musasa

PY - 2022

Y1 - 2022

N2 - This article explores and compares the dynamic performance of two wind energy conversion systems (WECS): (1) the doubly fed induction generator (DFIG) based WECS incorporating voltage source converter (VSC) with a fuzzy-logic controller; (2) the DFIG based WECS incorporating VSC with a fuzzy-proportional integral derivative (PID) controller. This is done to reduce steady-state error while also reducing overshoot and undershoot oscillations and settling time of the voltage/current or power out signals and dc-link voltage. The grid-side converter is used to adjust the dc-link voltage and reactive power to their respective reference values. In addition, the rotor side converter regulates the DFIG's rotor speed in order to maintain active power output. The vector control approach is applied to obtain adequate system control. MATLAB/SIMULINK is used to simulate the control system. The simulation findings indicated that the DFIG-based WECS with a fuzzy-PID controller outperformed more effectively than the DFIG-based WECS with fuzzy logic controller.

AB - This article explores and compares the dynamic performance of two wind energy conversion systems (WECS): (1) the doubly fed induction generator (DFIG) based WECS incorporating voltage source converter (VSC) with a fuzzy-logic controller; (2) the DFIG based WECS incorporating VSC with a fuzzy-proportional integral derivative (PID) controller. This is done to reduce steady-state error while also reducing overshoot and undershoot oscillations and settling time of the voltage/current or power out signals and dc-link voltage. The grid-side converter is used to adjust the dc-link voltage and reactive power to their respective reference values. In addition, the rotor side converter regulates the DFIG's rotor speed in order to maintain active power output. The vector control approach is applied to obtain adequate system control. MATLAB/SIMULINK is used to simulate the control system. The simulation findings indicated that the DFIG-based WECS with a fuzzy-PID controller outperformed more effectively than the DFIG-based WECS with fuzzy logic controller.

KW - DFIG

KW - Fuzzy-logic controller

KW - Fuzzy-PID controller

KW - Reactive power

KW - wecs

KW - Wind turbine

UR - https://www.scopus.com/pages/publications/85141525877

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DO - 10.1109/PowerAfrica53997.2022.9905240

M3 - Conference contribution

AN - SCOPUS:85141525877

T3 - 2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022

BT - 2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022

Y2 - 22 August 2022 through 26 August 2022

ER -

A comparative study of DFIG-based wind energy conversion systems with Fuzzy-PID and Fuzzy-logic controllers

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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