Adaptive fuzzy flatness-based excitation control for power system generators

Hassan A. Yousef; Mohamed Hamdy

doi:10.1109/IECON.2012.6388795

Adaptive fuzzy flatness-based excitation control for power system generators

Hassan A. Yousef^*, Mohamed Hamdy

^*Corresponding author for this work

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

Abstract

In this paper, a novel approach for the design of nonlinear excitation control of power system generators is proposed. The method is developed using a flatness-based adaptive fuzzy control methodology. The considered power system can be written in the canonical form and the resulting excitation control signal is shown to be nonlinear. In case of unknown power system parameters due abnormalities, the nonlinear functions appearing in the control signal can be approximated using adaptive fuzzy systems. Simulation results show that the proposed controller can enhance the transient stability of the power system under a three-phase to ground fault occurring near the generator terminals.

Original language	English
Title of host publication	Proceedings, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Pages	2156-2161
Number of pages	6
DOIs	https://doi.org/10.1109/IECON.2012.6388795
Publication status	Published - 2012
Externally published	Yes
Event	38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012 - Montreal, QC, Canada Duration: Oct 25 2012 → Oct 28 2012

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)

Other

Other	38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012
Country/Territory	Canada
City	Montreal, QC
Period	10/25/12 → 10/28/12

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/IECON.2012.6388795

Cite this

Adaptive fuzzy flatness-based excitation control for power system generators. / Yousef, Hassan A.; Hamdy, Mohamed.

Proceedings, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society. 2012. p. 2156-2161 6388795 (IECON Proceedings (Industrial Electronics Conference)).

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

Yousef, HA & Hamdy, M 2012, Adaptive fuzzy flatness-based excitation control for power system generators. in Proceedings, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society., 6388795, IECON Proceedings (Industrial Electronics Conference), pp. 2156-2161, 38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012, Montreal, QC, Canada, 10/25/12. https://doi.org/10.1109/IECON.2012.6388795

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abstract = "In this paper, a novel approach for the design of nonlinear excitation control of power system generators is proposed. The method is developed using a flatness-based adaptive fuzzy control methodology. The considered power system can be written in the canonical form and the resulting excitation control signal is shown to be nonlinear. In case of unknown power system parameters due abnormalities, the nonlinear functions appearing in the control signal can be approximated using adaptive fuzzy systems. Simulation results show that the proposed controller can enhance the transient stability of the power system under a three-phase to ground fault occurring near the generator terminals.",

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doi = "10.1109/IECON.2012.6388795",

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AB - In this paper, a novel approach for the design of nonlinear excitation control of power system generators is proposed. The method is developed using a flatness-based adaptive fuzzy control methodology. The considered power system can be written in the canonical form and the resulting excitation control signal is shown to be nonlinear. In case of unknown power system parameters due abnormalities, the nonlinear functions appearing in the control signal can be approximated using adaptive fuzzy systems. Simulation results show that the proposed controller can enhance the transient stability of the power system under a three-phase to ground fault occurring near the generator terminals.

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Adaptive fuzzy flatness-based excitation control for power system generators

Abstract

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ASJC Scopus subject areas

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