Comparison of Fuzzy Logic Based and Rule Based Power System Stabilizer

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Shi, Juan ORCID: 0000-0002-5057-1093, Herron, Len H and Kalam, Akhtar ORCID: 0000-0002-5933-6380 (1992) Comparison of Fuzzy Logic Based and Rule Based Power System Stabilizer. In: The First IEEE Conference on Control Applications, September 13-16, 1992, Stouffer Center Plaza Hotel, Dayton, Ohio. IEEE, Piscataway, New Jersey, pp. 692-697.


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.

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Item type Book Section
DOI 10.1109/CCA.1992.269763
Official URL
ISBN 0780300475 (paperback) 0780300483 (hardback) 0780300491 (microfiche)
Subjects Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Current > Division/Research > Other
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 stabilisers, rule based systems, stability, synchronous machine, acceleration, computational modelling, computer models, power generation, power systems simulation, signal generators, synchronous machines, signals
Citations in Scopus 9 - View on Scopus
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