Optimal power conversion of standalone wind energy conversion systems using fuzzy adaptive control

Hoa M. Nguyen; D. Subbaram Naidu

doi:10.1007/978-94-007-6818-5_5

Optimal power conversion of standalone wind energy conversion systems using fuzzy adaptive control

Hoa M. Nguyen
, D. Subbaram Naidu

Electrical Engineering

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

1 Scopus citations

Abstract

This chapter presents an advanced control technique to deal with the maximum power conversion problem of a standalone Wind Energy Conversion Systems (WECS) with Permanent Magnet Synchronous Generators (PMSG). The proposed method, which is different from traditional Maximum Power Point Tracking (MPPT) methods, is based on a fuzzy adaptive control scheme in which the adaptation is obtained from the Lyapunov analysis and carried out by the fuzzy logic technique. The superiority of the advanced control technique is shown by numerical simulations with comparison between the proposed controller's performance and a nonlinear feedback linearization controller's performance.

Original language	English (US)
Title of host publication	IAENG Transactions on Engineering Technologies - Special Issue of the World Congress on Engineering and Computer Science 2012
Publisher	Springer Verlag
Pages	51-66
Number of pages	16
ISBN (Print)	9789400768178
DOIs	https://doi.org/10.1007/978-94-007-6818-5_5
State	Published - 2014
Event	World Congress on Engineering and Computer Science, WCECS 2012 - San Francisco, CA, United States Duration: Oct 24 2012 → Oct 26 2012

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	247 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Other

Other	World Congress on Engineering and Computer Science, WCECS 2012
Country/Territory	United States
City	San Francisco, CA
Period	10/24/12 → 10/26/12

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Fuzzy adaptive control
Lyapunov analysis
Nonlinear feedback linearization control
Optimal power conversion
Permanent magnet synchronous generator
Standalone wind energy conversion system.

Publisher link

10.1007/978-94-007-6818-5_5

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Nguyen, H. M., & Naidu, D. S. (2014). Optimal power conversion of standalone wind energy conversion systems using fuzzy adaptive control. In IAENG Transactions on Engineering Technologies - Special Issue of the World Congress on Engineering and Computer Science 2012 (pp. 51-66). (Lecture Notes in Electrical Engineering; Vol. 247 LNEE). Springer Verlag. https://doi.org/10.1007/978-94-007-6818-5_5

Optimal power conversion of standalone wind energy conversion systems using fuzzy adaptive control. / Nguyen, Hoa M.; Naidu, D. Subbaram.
IAENG Transactions on Engineering Technologies - Special Issue of the World Congress on Engineering and Computer Science 2012. Springer Verlag, 2014. p. 51-66 (Lecture Notes in Electrical Engineering; Vol. 247 LNEE).

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

Nguyen, HM & Naidu, DS 2014, Optimal power conversion of standalone wind energy conversion systems using fuzzy adaptive control. in IAENG Transactions on Engineering Technologies - Special Issue of the World Congress on Engineering and Computer Science 2012. Lecture Notes in Electrical Engineering, vol. 247 LNEE, Springer Verlag, pp. 51-66, World Congress on Engineering and Computer Science, WCECS 2012, San Francisco, CA, United States, 10/24/12. https://doi.org/10.1007/978-94-007-6818-5_5

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abstract = "This chapter presents an advanced control technique to deal with the maximum power conversion problem of a standalone Wind Energy Conversion Systems (WECS) with Permanent Magnet Synchronous Generators (PMSG). The proposed method, which is different from traditional Maximum Power Point Tracking (MPPT) methods, is based on a fuzzy adaptive control scheme in which the adaptation is obtained from the Lyapunov analysis and carried out by the fuzzy logic technique. The superiority of the advanced control technique is shown by numerical simulations with comparison between the proposed controller's performance and a nonlinear feedback linearization controller's performance.",

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Optimal power conversion of standalone wind energy conversion systems using fuzzy adaptive control

Abstract

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UN SDGs

Keywords

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