Optimization free of algorithm-specific control parameters for Power System Stabilizer tuning
| Autor: | Petr Korba, F.R. Segundo Sevilla, M. Ramirez Gonzalez |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Power system stabilizer
Settings-free optimization Optimization algorithm Process (computing) ComputingMilieux_LEGALASPECTSOFCOMPUTING Stabilizer (aeronautics) Fuzzy logic Set (abstract data type) 621.3: Elektro- Kommunikations- Steuerungs- und Regelungstechnik Electric power system Test case Parameter tuning Control parameters Algorithm |
| Zdroj: | 2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). |
| DOI: | 10.1109/rtucon51174.2020.9316612 |
| Popis: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. 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. |
| Databáze: | OpenAIRE |
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