Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine

S. M. Muyeen; Ahmed Al-Durra; Hany M. Hasanien

doi:10.1109/MEPS.2015.7477210

Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine

S. M. Muyeen
, Ahmed Al-Durra
, Hany M. Hasanien

Electrical Engineering

Faculty of Engineering Ain Shams University

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

6 Scopus citations

Abstract

This paper presents the application of an adaptive neuro-fuzzy controller (ANFC) for speed control of the switched reluctance generator (SRG). In this study, the SRG is driven by a variable-speed wind turbine and connected to the grid through an asymmetric half bridge inverter, DC-link, and DC-AC inverter system. Speed control plays an important role in variable-speed operation of the SRG to ensure maximum power delivery to the grid for any particular wind speed. The effectiveness of the proposed ANFC is compared with that of the conventional proportional-Integral (PI) controller. Detailed modeling and control strategies of the overall system are also presented. The validity of the proposed system is verified by the simulation results using the real wind speed data measured at Hokkaido Island, Japan. The dynamic simulation study is performed using the laboratory standard power system simulator PSCAD/EMTDC.

Original language	British English
Title of host publication	Proceedings - International Conference on Modern Electric Power Systems, MEPS 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509031016
DOIs	https://doi.org/10.1109/MEPS.2015.7477210
State	Published - 2015
Event	International Conference on Modern Electric Power Systems, MEPS 2015 - Wroclaw, Poland Duration: 6 Jul 2015 → 9 Jul 2015

Publication series

Name	Proceedings - International Conference on Modern Electric Power Systems, MEPS 2015
Volume	2015-January

Conference

Conference	International Conference on Modern Electric Power Systems, MEPS 2015
Country/Territory	Poland
City	Wroclaw
Period	6/07/15 → 9/07/15

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Adaptive neuro-fuzzy controller
Asymmetric half bridge inverter
Switched reluctance generator
Variable-speed wind turbine

Access to Document

10.1109/MEPS.2015.7477210

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Muyeen, S. M., Al-Durra, A., & Hasanien, H. M. (2015). Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine. In Proceedings - International Conference on Modern Electric Power Systems, MEPS 2015 Article 7477210 (Proceedings - International Conference on Modern Electric Power Systems, MEPS 2015; Vol. 2015-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEPS.2015.7477210

Muyeen, S. M. ; Al-Durra, Ahmed ; Hasanien, Hany M. / Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine. Proceedings - International Conference on Modern Electric Power Systems, MEPS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. (Proceedings - International Conference on Modern Electric Power Systems, MEPS 2015).

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abstract = "This paper presents the application of an adaptive neuro-fuzzy controller (ANFC) for speed control of the switched reluctance generator (SRG). In this study, the SRG is driven by a variable-speed wind turbine and connected to the grid through an asymmetric half bridge inverter, DC-link, and DC-AC inverter system. Speed control plays an important role in variable-speed operation of the SRG to ensure maximum power delivery to the grid for any particular wind speed. The effectiveness of the proposed ANFC is compared with that of the conventional proportional-Integral (PI) controller. Detailed modeling and control strategies of the overall system are also presented. The validity of the proposed system is verified by the simulation results using the real wind speed data measured at Hokkaido Island, Japan. The dynamic simulation study is performed using the laboratory standard power system simulator PSCAD/EMTDC.",

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Muyeen, SM, Al-Durra, A & Hasanien, HM 2015, Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine. in Proceedings - International Conference on Modern Electric Power Systems, MEPS 2015., 7477210, Proceedings - International Conference on Modern Electric Power Systems, MEPS 2015, vol. 2015-January, Institute of Electrical and Electronics Engineers Inc., International Conference on Modern Electric Power Systems, MEPS 2015, Wroclaw, Poland, 6/07/15. https://doi.org/10.1109/MEPS.2015.7477210

Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine. / Muyeen, S. M.; Al-Durra, Ahmed; Hasanien, Hany M.
Proceedings - International Conference on Modern Electric Power Systems, MEPS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7477210 (Proceedings - International Conference on Modern Electric Power Systems, MEPS 2015; Vol. 2015-January).

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

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AU - Al-Durra, Ahmed

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N2 - This paper presents the application of an adaptive neuro-fuzzy controller (ANFC) for speed control of the switched reluctance generator (SRG). In this study, the SRG is driven by a variable-speed wind turbine and connected to the grid through an asymmetric half bridge inverter, DC-link, and DC-AC inverter system. Speed control plays an important role in variable-speed operation of the SRG to ensure maximum power delivery to the grid for any particular wind speed. The effectiveness of the proposed ANFC is compared with that of the conventional proportional-Integral (PI) controller. Detailed modeling and control strategies of the overall system are also presented. The validity of the proposed system is verified by the simulation results using the real wind speed data measured at Hokkaido Island, Japan. The dynamic simulation study is performed using the laboratory standard power system simulator PSCAD/EMTDC.

AB - This paper presents the application of an adaptive neuro-fuzzy controller (ANFC) for speed control of the switched reluctance generator (SRG). In this study, the SRG is driven by a variable-speed wind turbine and connected to the grid through an asymmetric half bridge inverter, DC-link, and DC-AC inverter system. Speed control plays an important role in variable-speed operation of the SRG to ensure maximum power delivery to the grid for any particular wind speed. The effectiveness of the proposed ANFC is compared with that of the conventional proportional-Integral (PI) controller. Detailed modeling and control strategies of the overall system are also presented. The validity of the proposed system is verified by the simulation results using the real wind speed data measured at Hokkaido Island, Japan. The dynamic simulation study is performed using the laboratory standard power system simulator PSCAD/EMTDC.

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Muyeen SM, Al-Durra A, Hasanien HM. Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine. In Proceedings - International Conference on Modern Electric Power Systems, MEPS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7477210. (Proceedings - International Conference on Modern Electric Power Systems, MEPS 2015). doi: 10.1109/MEPS.2015.7477210

Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine

Abstract

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UN SDGs

Keywords

Access to Document

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