Title of article :
An adaptive fuzzy logic power system stabilizer
Author/Authors :
Tjing T. Lie، نويسنده , , A.M. Sharaf، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 1996
Pages :
7
From page :
75
To page :
81
Abstract :
The paper presents an adaptive fuzzy logic power system stabilizer (PSS) design for damping oscillatory electromechanical modes of oscillations and enhancing the first-swing synchronous stability margins. The novel design utilizes a multivariable damping signal vector consisting of machine speed deviation, rate of speed deviation, and voltage deviation. The design is based on a multizonal PID structure and fuzzy logic variable-gain scheduling to optimize the damping action. The fuzzy logic PSS is proposed for use in parallel with the conventional analog type PSS with added simple switching criteria. The two PSS blocks can be allowed independent, sequential, and/or combined operation with different effective stabilizing weighting. The paper investigates an individual conventional PSS, a rule based fuzzy PSS, and hybrid operation. The parallel operation of a conventional PSS and a fuzzy logic one provides optimal sharing of the damping action under small- as well as large-scale generation-load mismatch or variations in external network topology due to fault or switching conditions.
Keywords :
Adaptive control , Stabilizer design , Power system stabilizers: Fuzzy Logic applications
Journal title :
Electric Power Systems Research
Serial Year :
1996
Journal title :
Electric Power Systems Research
Record number :
415333
Link To Document :
بازگشت