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Comparison of fuzzy logic based and rule based power system stabilizer

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3 Author(s)
Juan Shi ; Dept. of Electr. & Electron. Eng., Victoria Univ. of Technol., Vic., Australia ; Herron, L.H. ; Kalam, A.

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

Published in:

Control Applications, 1992., First IEEE Conference on

Date of Conference:

13-16 Sep 1992