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J.J. Jamian
Universiti Teknologi Malaysia
Computer Science & IT Electrical & Electronics Engineering

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Modelling the Effect of Applied Voltage and Frequency on Electroluminescence in Polymeric Material N.A. Bani; Z Abdul-Malek; F Muhammad-Sukki; A Abubakar Mas’ud; M.N. Muhtazaruddin; K Kamardin; J.J. Jamian; H Ahmad
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 3: June 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (40.448 KB) | DOI: 10.11591/ijece.v6i3.pp1375-1384

Abstract

Electroluminescence method has been used by several researchers to observe the behaviour of an aged polymeric material. Electroluminescence is a phenomenon that occurs when the atoms of a material are being excited due to the application of and external high electrical stresses. The changes in the energy level of these excitation states can be used as an indicator for the initiation of electrical ageing. There are several factors that affect the behaviour of electroluminescence emission such as, among others, applied voltage, applied frequency, ageing of material and types of materials and gases used are discussed in this paper. A mathematical approach relating these factors and the intensity of electroluminescence is proposed through the aid of Dimensional Analysis method. A close relationship is obtained between experimental and simulation that suggests this mathematical approach can be utilized as a tool to predict electrical ageing of insulation material.
Implimentation of Evolutionary Particle Swarm Optimization in Distributed Generation Sizing J.J. Jamian; M.W. Mustafa; H. Mokhlis; M.A. Baharudin
International Journal of Electrical and Computer Engineering (IJECE) Vol 2, No 1: February 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (482.434 KB)

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The size of Distributed Generation (DG) is very important in order to reduce the impact of installing a DG in the distribution Network. Without proper connection and sizing of DG, it will cause the power loss to increase and also might cause the voltage in the network to operate beyond the acceptable limit. Therefore, most researchers have concentrated on the optimization technique to regulate the DG’s output to compute its optimal size. In this paper, the concept of Evolutionary Particle Swarm Optimization (EPSO) method is implemented in sizing the DG units. By substituting the concept of Evolutionary Programming (EP) in some part of Particle Swarm Optimization (PSO) algorithm process, it will make the process of convergence become faster. The algorithm has been tested in 33bus distribution system with 3 units of DG that operate in PV mode. Its performance was compared with the performance when using the traditional PSO and without using any optimization method. In terms of power loss reduction and voltage profile, the EPSO can give similar performance as PSO. Moreover, the EPSO requires less number of iteration and computing time to converge. Thus, it can be said that the EPSO is superior in term of speed, while maintaining the same performance.DOI:http://dx.doi.org/10.11591/ijece.v2i1.227
Co-Authors A Abubakar Mas’ud F Muhammad-Sukki H Ahmad H. Mokhlis K Kamardin M.A. Baharudin M.N. Muhtazaruddin M.W. Mustafa N.A. Bani Z Abdul-Malek