Title :
A fuzzy logic-based adaptive power system stabilizer for multi-machine systems
Author :
Lu, J. ; Nehrir, M.H. ; Pierre, D.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Montana State Univ., Bozeman, MT, USA
Abstract :
This paper presents an approach for designing fuzzy logic based adaptive power system stabilizers for multi-machine power systems. The approach is based on the traditional frequency domain method. In addition, a fuzzy signal synthesizer is introduced to achieve adaptiveness. In this approach, two linear stabilizers are designed to accommodate two extreme loading cases. A fuzzy logic mechanism is used to generate one single control signal by properly combining the outputs of the linear stabilizers. The fuzzy controller is optimized using a least squares error criterion. Simulation studies of a one-machine infinite-bus and a multi-machine system show that the proposed stabilizer provides satisfactory damping against low frequency oscillations under different operating conditions
Keywords :
adaptive control; control system synthesis; damping; fuzzy control; least squares approximations; oscillations; power system control; power system stability; control signal generation; damping; extreme loading cases; frequency domain method; fuzzy controller optimisation; fuzzy logic-based adaptive power system stabilizer; fuzzy signal synthesizer; least squares error criterion; linear stabilizer outputs combination; linear stabilizers; low frequency oscillations; multi-machine system; multi-machine systems; one-machine infinite-bus system; self-tuning; Adaptive systems; Error correction; Frequency domain analysis; Fuzzy control; Fuzzy logic; Fuzzy systems; Least squares methods; Power systems; Signal generators; Synthesizers;
Conference_Titel :
Power Engineering Society Summer Meeting, 2000. IEEE
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-6420-1
DOI :
10.1109/PESS.2000.867421
