Title :
Comparison of fuzzy logic based and rule based power system stabilizer
Author :
Shi, Juan ; Herron, L.H. ; Kalam, A.
Author_Institution :
Dept. of Electr. & Electron. Eng., Victoria Univ. of Technol., Vic., Australia
Abstract :
The results of applying a fuzzy-logic-based and a rule-based power system stabilizer for a synchronous machine are compared. To achieve good damping characteristics over a wide range of operating conditions, speed deviation and acceleration of a synchronous machine are chosen as the input signal to the stabilizers. The stabilizing signal is determined from certain rules for a rule-based power system stabilizer. For the fuzzy-logic-based power system stabilizer, the supplementary stabilizing signal is determined according to a fuzzy membership function depending on the speed and acceleration states of the generator. Simulation shows that the fuzzy-logic-based power system stabilizer is superior to the rule-based stabilizer due to its lower computational burden and robust performance
Keywords :
damping; fuzzy logic; fuzzy set theory; knowledge based systems; power system computer control; power system stability; synchronous machines; damping characteristics; fuzzy control; fuzzy logic based systems; fuzzy membership function; power system stabilizer; rule based systems; stability; synchronous machine; Acceleration; Computational modeling; Damping; Fuzzy logic; Fuzzy systems; Power generation; Power system simulation; Power systems; Signal generators; Synchronous machines;
Conference_Titel :
Control Applications, 1992., First IEEE Conference on
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-0047-5
DOI :
10.1109/CCA.1992.269763
