Influence of Fuzzy Power System Stabilizer using Different Membership Functions for Single and Multi-machine
- 27 May 2021
- journal article
- research article
- Published by Springer Nature in Journal of Control, Automation and Electrical Systems
- Vol. 32 (5) , 1269-1278
Abstract
No abstract availableKeywords
Funding Information
- Direction Générale de la Recherche Scientifique et du Développement Technologique
This publication has 15 references indexed in Scilit:
- Selection of Membership Functions Based on Fuzzy Rules to Design an Efficient Power System StabilizerInternational Journal of Fuzzy Systems, 2016
- Enhanced design of an indirect adaptive fuzzy sliding mode power system stabilizer for multi-machine power systemsInternational Journal of Electrical Power & Energy Systems, 2014
- Fuzzy Logic based Robust Power System Stabilizer for Multi-Machine Power System2006
- Study of fuzzy logic power system stabilizer2003
- Effective use of power system stabilizers for enhancement of power system reliability2003
- Development of fuzzy logic power system stabilizer and further studies2003
- Induction of fuzzy rules and membership functions from training examplesFuzzy Sets and Systems, 1996
- Design of augmented fuzzy logic power system stabilizers to enhance power systems stabilityIEEE Transactions on Energy Conversion, 1996
- Neuro-fuzzy modeling and controlProceedings of the IEEE, 1995
- Fuzzy logic power system stabiliserIEE Proceedings - Generation, Transmission and Distribution, 1995