Faculty of Engineering,
Rasht, P.O. Box 3756
West Indies
Research Article
Online Tuning of Power System Stabilizers using Fuzzy Logic Network with Fuzzy C-Means Clustering
Author(s): Hajizade Kanafgorabi M and Dr. Karami AHajizade Kanafgorabi M and Dr. Karami A
Power system stabilizers (PSS) have been widely used to enhance damping due to the electromechanical low frequency oscillations occurrence in power systems. In this paper, a new method is used for the online tuning of parameters of conventional power system stabilizers (CPSS) using fuzzy logic. Fuzzy logic enables mathematical modeling and computation of some nonlinear parameters of the system, which are usually, derived empirically by utilization of expert knowledge rules. Various literatures has shown that fuzzy logic controller is one of the most useful methods for expert knowledge utilization. This type of controller is adaptive in nature and can be used successfully as a power system stabilizer. The design of fuzzy logic controllers is mainly based on fuzzy rules and input/output membership functions. Simple and efficient clustering algorithms allow data classification in distinc.. Read More»
DOI:
10.4172/2332-0796.1000136
Journal of Electrical & Electronic Systems received 733 citations as per Google Scholar report