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 | |
| 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 |
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ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
Adaptive fuzzy flatness-based excitation control for power system generators. / Yousef, Hassan A.; Hamdy, Mohamed.
IECON Proceedings (Industrial Electronics Conference). 2012. p. 2156-2161 6388795.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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
SN - 9781467324212
SP - 2156
EP - 2161
BT - IECON Proceedings (Industrial Electronics Conference)
ER -