Title :
A self-organizing power system stabilizer using fuzzy auto-regressive moving average (FARMA) model
Author :
Park, Young-Moon ; Moon, Un-Chul ; Lee, Kwang Y.
Author_Institution :
Dept. of Electr. Eng., Seoul Nat. Univ., South Korea
fDate :
6/1/1996 12:00:00 AM
Abstract :
This paper presents a self-organizing power system stabilizer (SOPSS) which use the fuzzy auto-regressive moving average (FARMA) model. The control rules and the membership functions of the proposed fuzzy logic controller are generated automatically without using any plant model. The generated rules are stored in the fuzzy rule space and updated on-line by a self-organizing procedure. To show the effectiveness of the proposed controller, comparison with a conventional controller for a one-machine infinite-bus system is presented
Keywords :
autoregressive moving average processes; control system synthesis; controllers; fuzzy control; power system control; power system stability; self-adjusting systems; control rules; fuzzy auto-regressive moving average model; fuzzy logic controller; fuzzy rule space; membership functions; one-machine infinite-bus system; self-organizing power system stabilizer; Automatic control; Automatic generation control; Control systems; Damping; Fuzzy logic; Fuzzy systems; History; Power system control; Power system modeling; Power system stability;
Journal_Title :
Energy Conversion, IEEE Transactions on
