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Design and implementation of a fuzzy logic controller for power system stabilization

descriptionPublicationkeyboard_double_arrow_right Conference object , Article , Part of book or chapter of book 30 Dec 2002 Australia Publisher:IEEEJournal:Proceedings of IEEE International Conference on Control and Applications

Authors: Shi, Juan; Herron, Len H; Kalam, Akhtar;

doi: 10.1109/cca.1993.348305

Design and implementation of a fuzzy logic controller for power system stabilization

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Abstract

A fuzzy controller has been designed and implemented to enhance the overall power system stability. 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 functions depending on the speed and acceleration states of the generator. The design and digital simulation studies are carried out on a one-machine infinite bus power system. The design is implemented on a 5 kVA generator in the Power System Laboratory with an IBM-486 computer associated with A/D and D/A converter acting as the real time controller. The implementation study is carried out on both single-machine and two-machine infinite bus power systems respectively. Studies of simulation and implementation show that the proposed fuzzy controller is very effective. >

Country

Australia

Related Organizations

Victoria University
Australia
Victoria University
Australia

Keywords

power system computer control, signal generators, 330, IBM-486 computer, fuzzy control, stabilising signal, fuzzy logic controller, power system stability, nonlinear fuzzy membership functions, control systems, one-machine infinite bus power system, damping, power system laboratory, acceleration, 5 kVA, machine control, damping characteristics, 004, 0906 Electrical and Electronic Engineering, real-time systems, power system, two-machine infinite bus power systems, synchronous generator, power system simulation, fuzzy systems, Other, stabilisation, synchronous generators, fuzzy logic, real time controller, single-machine infinite bus power systems, speed deviation

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Fields of Science (3) View all

engineering and technology

electrical engineering, electronic engineering, information engineering

Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

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Energy Research