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Zulhisyam Salleh
Universiti Teknikal Malaysia Melaka

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Dynamic Stability Analysis of Generator with Power System Stabilizers Using Matlab Simulink Marizan Sulaiman; Hayfaa Mohammed Hussein; Rosli Omar; Zulhisyam Salleh
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 3: June 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i3.pp501-509

Abstract

 The dynamics in single machine been connected to an infinite power system bus is analyzed in this paper. This analysis requires certain amount of system modeling level. The main components of the system models are excitation system, synchronous machine and the Power System Stabilizer. The Simulink /Matlab are used as the programming tool for analyzing this system performance. Design optimization arobust PSS based on Genetic Algorithm (GA) approach has been improvement. A proper design is required for this Power System Stabilizer (PSS) performance using the Particle Swarm Optimization (PSO) to archieve this. Then the implemented of the model and response of the dynamic system is been analyzed. The designed without PSS showed an unacceptable system response since as shown in the simulation results, system response with PSS proven to have improvements and PSS succeeding in  stabilizing an unstable system. Therefore this leads to stability of the performance of the generator.
Effects of Parameters Variation in Fuzzy based Induction Motor Drives Marizan Sulaiman; Zulhisyam Salleh; Rosli Omar
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 2: November 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i2.pp272-280

Abstract

This paper presents the effects of parameters variation over the speed response of vector controlled induction motor drives for high performance applications. The design and simulation of fuzzy logic controller are considered based on design case constant parameter fuzzy logic (DCCPFL) controller. The scaling factors for DCCPFL controller are calculated based on identified motor parameter. The performance of the DCCPFL is compared with conventional PI controller. Three different parameters is tested under no-load and loaded conditions namely rotor resistance, inertia and self-inductance. From the simulation results, it is proved that the DCCPFL have better performance in term of different parameter variations and also load disturbances. Thus the DCCPFL is appropriate to replace the conventional PI for high performance of induction motor drives system.
Co-Authors Hayfaa Mohammed Hussein Marizan Sulaiman Rosli Omar