Application of Fuzzy Logic Controller for Power System Stabilization
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Shi, Juan 
ORCID: 0000-0002-5057-1093, Herron, Len H and Kalam, Akhtar ORCID: 0000-0002-5933-6380
(1993)
Application of Fuzzy Logic Controller for Power System Stabilization.
In:
TENCON '93 : 1993 IEEE Region 10 Conference on 'Computer, Communication, Control and Power Engineering' : October 19-21, 1993, Beijing, Beijing International Convention Center, Beijing Continental Grand Hotel.
IEEE, Piscataway, New Jersey, pp. 200-203.
Abstract
The application of a fuzzy controller to improve the stability of power systems is presented in this paper. To achieve good damping characteristics over a wide range of operating conditions, speed deviation and acceleration of a synchronous generator are chosen as the input signals to the fuzzy controller. The stabilizing signal is determined according to the nonlinear fuzzy membership function depending on the speed and acceleration states of the generator. Simulation and implementation studies have been carried out on a one-machine and two-machine infinite bus system respectively. The simulation and implementation result show that the proposed fuzzy controller is very effective and gives better performance than the conventional power system stabilizer.
| Item type | Book Section |
| URI | https://vuir.vu.edu.au/id/eprint/25397 |
| Official URL | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn... |
| ISBN | 0780312333 |
| Subjects | Historical > FOR Classification > 0906 Electrical and Electronic Engineering Current > Division/Research > Other |
| Keywords | control system analysis, control system synthesis, fuzzy control, machine control, microcomputer applications, nonlinear control systems, power system computer control, power system stability, synchronous generators, PSS, acceleration, application, damping characteristics, fuzzy logic controller, input signals, microcomputer control, nonlinear fuzzy membership function, operating conditions, performance, power system stabiliser, simulation, speed deviation, synchronous generator, control systems, damping, fuzzy systems, power system control, power system simulation, power system stability, power systems |
| Citations in Scopus | 4 - View on Scopus |
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