Optimization free of algorithm-specific control parameters for Power System Stabilizer tuning

A settings-free and derivative-free optimization technique, called Jaya Optimization Algorithm, is investigated in this paper for the design of simple fuzzy PSSs (FPSSs) in a multimachine power system. Performance of this technique during the optimization process is compared to the one exhibited by...

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Bibliographic Details
Published in2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) pp. 1 - 6
Main Authors Gonzalez, M. Ramirez, Segundo Sevilla, F. R., Korba, P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 05.11.2020
Subjects
Damping
fuzzy logic
Jaya Optimization Algorithm
Optimization
Oscillators
parameter tuning
Power system stability
Power system stabilizer
settings-free optimization
Sociology
Statistics
Tuning
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Summary:A settings-free and derivative-free optimization technique, called Jaya Optimization Algorithm, is investigated in this paper for the design of simple fuzzy PSSs (FPSSs) in a multimachine power system. Performance of this technique during the optimization process is compared to the one exhibited by a Bat Optimization Algorithm based approach. Considering a set of test cases for illustrative purposes, FPSSs tuned with both of these algorithms are applied to the study system and their performance in damping inter-area and local oscillations is analyzed against some commonly used lead-lag structures, including multi-band PSSs.
DOI:10.1109/RTUCON51174.2020.9316612