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Publication type: Conference paper
Type of review: Peer review (publication)
Title: Optimization free of algorithm-specific control parameters for power system stabilizer tuning
Authors: Ramirez Gonzalez, Miguel
Segundo Sevilla, Felix Rafael
Korba, Petr
et. al: No
DOI: 10.1109/RTUCON51174.2020.9316612
Proceedings: 2020 IEEE 61st International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
Conference details: 61st International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Virtual Conference, 5-7 November 2020
Issue Date: 6-Nov-2020
Publisher / Ed. Institution: IEEE
ISBN: 978-1-7281-9510-0
Language: English
Subjects: Power system stabilizer; Fuzzy logic; Parameter tuning; Settings-free optimization
Subject (DDC): 621.3: Electrical, communications, control engineering
Abstract: 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.
Further description: ​© 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.
Fulltext version: Accepted version
License (according to publishing contract): Licence according to publishing contract
Restricted until: 2020-12-31
Departement: School of Engineering
Organisational Unit: Institute of Energy Systems and Fluid Engineering (IEFE)
Appears in collections:Publikationen School of Engineering

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