Title : 
Fuzzy logic application to single machine power system stabilizer
         
        
            Author : 
Patel, Hitesh D. ; Majmudar, Charvi
         
        
        
        
        
        
            Abstract : 
Power system stabilizers (PSS) must be capable of providing stabilization signals over a broad range of operating conditions and disturbance. Traditional PSS rely on robust linear design method in an attempt to cover a wider range of operating condition. Expert or rule-based controllers have also been proposed. Recently fuzzy logic as a novel robust control design method has shown promising results. The emphasis in fuzzy control design center is around uncertainties in the system parameters and operating conditions. In this paper a novel Fuzzy Logic Power System Stabilizer (FLPSS) design is proposed. A proposed FLPSS basically utilizes two signals; namely change in rotor angular speed and rate of change of angular speed. A proposed FLPSS provides a good damping over a wide operating range. The effectiveness of the proposed fuzzy stabilizer is demonstrated by a digital computer simulation in MATLAB 7.0/SIMULINK of a single machine and a resistive load power system.
         
        
            Keywords : 
control system synthesis; fuzzy control; power system control; power system stability; robust control; FLPSS design; Matlab 7.0-Simulink; PSS; digital computer simulation; fuzzy control design center; fuzzy logic power system stabilizer design; resistive load power system; robust control design method; robust linear design method; rotor angular speed; rule-based controllers; single machine power system stabilizer; Acceleration; Fuzzy logic; Input variables; Niobium; Power system stability; Rotors; Synchronous generators; Controller design; Fuzzy Logic; Power System Stabilizer;
         
        
        
        
            Conference_Titel : 
Engineering (NUiCONE), 2011 Nirma University International Conference on
         
        
            Conference_Location : 
Ahmedabad, Gujarat
         
        
            Print_ISBN : 
978-1-4577-2169-4
         
        
        
            DOI : 
10.1109/NUiConE.2011.6153295