Abstract
A fuzzy power system stabilizer (FPSS) is developed using the concept of fuzzy basis functions. The linguistic rules, regarding the dependence of the plant output on the controlling signal, are used to build the initial FPSS. Based on the Lyapunov's direct method, an adaptation rule is developed in order to make the FPSS adaptive to changes in operating conditions of the power system. The FPSS is designed for a cogenerator, and simulation studies are based on a one machine-infinite bus model. Nonlinear simulations reveal that the performance of the adaptive fuzzy power system stabilizer (AFPSS) is better than the performance of a conventional (linear) power system stabilizer (CPSS) and a fixed-parameter FPSS for a wide range of operating conditions.
Original language | English |
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Pages (from-to) | 1564-1570 |
Number of pages | 7 |
Journal | IEEE Transactions on Energy Conversion |
Volume | 14 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1999 |
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Keywords
- Adaptive control
- Adaptive fuzzy systems
- Fuzzy basis functions
- Fuzzy logic
- Power system stabilizer
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Fuel Technology
- Electrical and Electronic Engineering
Cite this
A direct adaptive fuzzy power system stabilizer. / Hosseinzadeh, N.; Kalam, A.
In: IEEE Transactions on Energy Conversion, Vol. 14, No. 4, 1999, p. 1564-1570.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A direct adaptive fuzzy power system stabilizer
AU - Hosseinzadeh, N.
AU - Kalam, A.
PY - 1999
Y1 - 1999
N2 - A fuzzy power system stabilizer (FPSS) is developed using the concept of fuzzy basis functions. The linguistic rules, regarding the dependence of the plant output on the controlling signal, are used to build the initial FPSS. Based on the Lyapunov's direct method, an adaptation rule is developed in order to make the FPSS adaptive to changes in operating conditions of the power system. The FPSS is designed for a cogenerator, and simulation studies are based on a one machine-infinite bus model. Nonlinear simulations reveal that the performance of the adaptive fuzzy power system stabilizer (AFPSS) is better than the performance of a conventional (linear) power system stabilizer (CPSS) and a fixed-parameter FPSS for a wide range of operating conditions.
AB - A fuzzy power system stabilizer (FPSS) is developed using the concept of fuzzy basis functions. The linguistic rules, regarding the dependence of the plant output on the controlling signal, are used to build the initial FPSS. Based on the Lyapunov's direct method, an adaptation rule is developed in order to make the FPSS adaptive to changes in operating conditions of the power system. The FPSS is designed for a cogenerator, and simulation studies are based on a one machine-infinite bus model. Nonlinear simulations reveal that the performance of the adaptive fuzzy power system stabilizer (AFPSS) is better than the performance of a conventional (linear) power system stabilizer (CPSS) and a fixed-parameter FPSS for a wide range of operating conditions.
KW - Adaptive control
KW - Adaptive fuzzy systems
KW - Fuzzy basis functions
KW - Fuzzy logic
KW - Power system stabilizer
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UR - http://www.scopus.com/inward/citedby.url?scp=0033343327&partnerID=8YFLogxK
U2 - 10.1109/60.815106
DO - 10.1109/60.815106
M3 - Article
AN - SCOPUS:0033343327
VL - 14
SP - 1564
EP - 1570
JO - IEEE Transactions on Energy Conversion
JF - IEEE Transactions on Energy Conversion
SN - 0885-8969
IS - 4
ER -