Faculty of Electrical Engineering and Information Technologies

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    Item type:Publication,
    Improving the Efficiency of Grounding System Analysis Using GPU Parallelization
    (ETAI - Society for Electronics, Telecommunications, Automatics and Informatics of the Republic of North Macedonia, 2021-09-21)
    Velkovski, Bodan
    ;
    ;
    Gjorgievski, Vladimir
    ;
    Markovska, Marija
    ;
    Grcev, Leonid
    Safety analyses of the effectiveness of large grounding systems are often hampered by the lengthy computation times. Using even the simplest image models, the evaluation of touch and step voltages can require from several minutes to several hours of computations on modern CPUs. Our analysis shows that substantial reduction of computation times can be achieved by utilizing GPU parallelization. In this paper we provide basic steps in the implementation of GPU parallelization on the simplest equipotential model for grounding analysis in homogeneous earth, and we test the effectiveness of this approach in different scenarios.
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    Item type:Publication,
    Accurate Low-Frequency Approximation for Wires Within a Conducting Half-Space
    (IEEE Transactions on Electromagnetic Compatibility, 2020-02)
    Blagoja Markovski
    ;
    Leonid Grcev
    ;
    Vesna Arnautovski-Toseva
    The most popular approximate models for the analysis of vertical and horizontal wires within a conducting half-space are based on image theory. However, their accuracy is often confined within some low-frequency (LF) range. Such models are often based on the integral equation technique with the so-called “traditional” choice of potentials. In this letter, a new LF approximation is derived from an alternative choice of potentials, i.e., “formulation B.” The accuracy of the proposed approximation and the traditional image approximations is evaluated by comparison with the electromagnetic simulation software FEKO for different wire geometries and different values of earth resistivity in a frequency range up to 10MHz. It is shown that the new LF approximation is consistently more accurate in all analyzed cases, which widens its applicable frequency range in relation to the image approximations based on the traditional choice of potentials.