Title :
Robust, near time-optimal control of power system oscillations with fuzzy logic
Author :
Noroozian, M. ; Andersson, G. ; Tomsovic, K.
Author_Institution :
Dept. of Electr. Power Syst., R. Inst. of Technol., Stockholm, Sweden
fDate :
1/1/1996 12:00:00 AM
Abstract :
This paper presents a fuzzy logic controller for series reactance switching to damp power system electromechanical oscillations. A set of control rules are constructed and inference is provided by fuzzy logic reasoning. The knowledge base for the controller is established from observation of the dynamical behaviour of a simple power system and the general engineering knowledge about the system dynamics. The performance of the controller is shown to be robust and comparable to that of a minimum-time optimal controller
Keywords :
control system analysis; control system synthesis; damping; fuzzy control; inference mechanisms; power system control; power system stability; robust control; time optimal control; control design; control rules; control simulation; dynamical behaviour; electromechanical oscillations damping; engineering knowledge; fuzzy logic controller; fuzzy logic reasoning; inference; knowledge base; power system oscillations; robust near time-optimal control; series reactance switching; Control systems; Fuzzy logic; Optimal control; Power system analysis computing; Power system control; Power system dynamics; Power system modeling; Power system stability; Power systems; Robust control;
Journal_Title :
Power Delivery, IEEE Transactions on
