Title :
An Online Adaptive Neuro-Fuzzy Power System Stabilizer for Multimachine Systems
Author :
You, Ran ; Eghbali, H. J. ; Nehrir, M. Hashem
Author_Institution :
Montana State University
Abstract :
A fuzzy-logic-based adaptive power system stabilizer (PSS) is proposed. The parameters of the fuzzy-logic-based PSS are tuned by neural networks online. The system is divided into two subystems, a recursive least square identifier with a variable forgetting factor for the generator and a fuzzy-logic-based adaptive controller to damp oscillations. The effectiveness of the proposed PSS in increasing the damping of local and interarea modes of oscillation is demonstrated in a one-machine infinite-bus system, a two-area four-machine 13-bus system, and a 16-machine 68-bus system.
Keywords :
Adaptive systems; Artificial neural networks; Circuit faults; Harmonic distortion; Neural networks; Power system harmonics; Power system measurements; Power system modeling; Power systems; Pricing; Power system stabilizer; fuzzy logic; neural networks;
Journal_Title :
Power Engineering Review, IEEE
DOI :
10.1109/MPER.2002.4312497
