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

Electrical and Computer Engineering

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	IECON Proceedings (Industrial Electronics Conference)
Pages	2156-2161
Number of pages	6
DOIs	https://doi.org/10.1109/IECON.2012.6388795
Publication status	Published - 2012
Event	38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012 - Montreal, QC, Canada Duration: Oct 25 2012 → Oct 28 2012

Other

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

Fingerprint

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Cite this

Yousef, H. A., & Hamdy, M. (2012). Adaptive fuzzy flatness-based excitation control for power system generators. In IECON Proceedings (Industrial Electronics Conference) (pp. 2156-2161). [6388795] https://doi.org/10.1109/IECON.2012.6388795

@inproceedings{7961cdbe808d4ceaac837f6340728f17,

title = "Adaptive fuzzy flatness-based excitation control for power system generators",

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.",

author = "Yousef, {Hassan A.} and Mohamed Hamdy",

year = "2012",

doi = "10.1109/IECON.2012.6388795",

language = "English",

isbn = "9781467324212",

pages = "2156--2161",

booktitle = "IECON Proceedings (Industrial Electronics Conference)",

note = "38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012 ; Conference date: 25-10-2012 Through 28-10-2012",

}

TY - GEN

T1 - Adaptive fuzzy flatness-based excitation control for power system generators

AU - Yousef, Hassan A.

AU - Hamdy, Mohamed

PY - 2012

Y1 - 2012

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=84872895954&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84872895954&partnerID=8YFLogxK

U2 - 10.1109/IECON.2012.6388795

DO - 10.1109/IECON.2012.6388795

M3 - Conference contribution

AN - SCOPUS:84872895954

SN - 9781467324212

SP - 2156

EP - 2161

BT - IECON Proceedings (Industrial Electronics Conference)

T2 - 38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012

Y2 - 25 October 2012 through 28 October 2012

ER -

Access to Document

10.1109/IECON.2012.6388795