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Original Articles

Phase Position and Phase Relocation for the Feasibility of Electromagnetic Field Mitigation

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Pages 121-130 | Published online: 15 Jul 2015
 

Abstract

Numerical optimization using recurrent Finite Difference Method (FDM) simulation is a promising direction in selecting power transmission line safe design. This article investigates the feasibility of electromagnetic field reduction by optimization of phase relationship in three-phase systems. Various transmission line phase positions are presented, which feature minimum electromagnetic effect on surface level. Different transmission line structure designs have been investigated in order to select the maximum phaser cancellation in three-phase systems. A deeper insight to the effects of changing the phase relocation has been presented, giving more understanding to the electromagnetic field reduction within the existing right-of-way. The primary objective of this ongoing project is to create rigorous methodology and software capable of solving electromagnetic field in three-phase systems, as well as solving various optimization problems in the field of electromagnetic field reduction for analysis and design of different phase locations. Examples of existing power lines and projects show practical applications.

Additional information

Notes on contributors

M.A. Elhirbawy

Mahmoud A. Elhirbawy, IEEE member, received the B.Sc. degree in electrical and electronic engineering in 1995. Currently he is Associate Lecturer in the School of Electrical, Electronic, and Computer Engineering at the University of Western Australia. His current research interests are high-voltage power transmission lines, power system modelling, numerical skills, numerical and iterative methods for partial differential equations, finite difference grid-generation techniques for applied problems in engineering sciences, analysis of numerical methods for solving the Maxwell equations for wave problems, EMC computational methods, and electromagnetic problems with mixed finite difference methods.

L.S. Jennings

Leslie S. Jennings received his B.Sc. (Honours) from the University of Adelaide in 1969 and a Ph.D. in numerical analysis from the Australian National University in 1973. This was followed by a nine month post-doctoral appointment at Stanford University in the Computer Science Department. Since then he has held the positions of Lecturer, Senior Lecturer, and Associate Professor in the School of Mathematics and Statistics at the University of Western Australia, Perth. His interests lie in numerical analysis and in the application of optimal control to human movement modelling, multibody systems, chemical engineering, and filter design. Currently he is working on the interface of optimal control, numerical analysis, and software engineering.

W.W.L. Keerthipala

W.W.L. Keerthipala (MIEEE, MINNS) received B.Sc. (engineering) degree with First Class Honours in electrical and electronic engineering from the University of Peradeniya, Sri Lanka, in 1984 and the Ph.D. degree in power systems and drives from the University of Cambridge, Trinity College, England, in 1989. He worked at the University of Peradeniya as Assistant Lecturer during 1985-86 and at the University of Manitoba, Canada, as a Post-Doctoral Research Fellow and Sessional Lecturer during 1989-92. From 1992 to July 1997 he was attached to Nanyang Technological University, Singapore, as a Lecturer. His research interests include power system modelling and transient simulation, neural network/fuzzy logic-based intelligent system protection, microprocessor-based intelligent control of induction motors, control of sub-synchronous resonance, and analysis of hybrid power systems. Currently he is a Senior Lecturer with Curtin University of Technology in Australia.

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