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Adjusting the Parameters of Metal Oxide Gapless Surge Arresters’ Equivalent Circuits Using the Harmony Search Method

Author

Listed:
  • Christos A. Christodoulou

    (Department of Electrical and Computer Engineering, University of Thessaly, 382 21 Volos, Greece)

  • Vasiliki Vita

    (Department of Electrical and Electronic Engineering Educators, A.S.P.E.T.E.—School of Pedagogical and Technological Education, 141 21 Heraklion, Greece)

  • Georgios Perantzakis

    (Department of Electrical and Computer Engineering, University of Thessaly, 382 21 Volos, Greece)

  • Lambros Ekonomou

    (Department of Electrical and Electronic Engineering Educators, A.S.P.E.T.E.—School of Pedagogical and Technological Education, 141 21 Heraklion, Greece)

  • George Milushev

    (Innovative Energy and Information Technologies LTD, 1387 Sofia, j.k. Obelia 1, bl. 118, ent. A, app. 6, Bulgaria)

Abstract

The appropriate circuit modeling of metal oxide gapless surge arresters is critical for insulation coordination studies. Metal oxide arresters present a dynamic behavior for fast front surges; namely, their residual voltage is dependent on the peak value, as well as the duration of the injected impulse current, and should therefore not only be represented by non-linear elements. The aim of the current work is to adjust the parameters of the most frequently used surge arresters’ circuit models by considering the magnitude of the residual voltage, as well as the dissipated energy for given pulses. In this aim, the harmony search method is implemented to adjust parameter values of the arrester equivalent circuit models. This functions by minimizing a defined objective function that compares the simulation outcomes with the manufacturer’s data and the results obtained from previous methodologies.

Suggested Citation

  • Christos A. Christodoulou & Vasiliki Vita & Georgios Perantzakis & Lambros Ekonomou & George Milushev, 2017. "Adjusting the Parameters of Metal Oxide Gapless Surge Arresters’ Equivalent Circuits Using the Harmony Search Method," Energies, MDPI, vol. 10(12), pages 1-11, December.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2168-:d:123410
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    References listed on IDEAS

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    1. Nafar, M. & Gharehpetian, G.B. & Niknam, T., 2011. "Improvement of estimation of surge arrester parameters by using Modified Particle Swarm Optimization," Energy, Elsevier, vol. 36(8), pages 4848-4854.
    2. Christodoulou, C.A. & Vita, V. & Ekonomou, L. & Chatzarakis, G.E. & Stathopulos, I.A., 2010. "Application of Powell’s optimization method to surge arrester circuit models’ parameters," Energy, Elsevier, vol. 35(8), pages 3375-3380.
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    Cited by:

    1. Nurul A. A. Latiff & Hazlee A. Illias & Ab H. A. Bakar & Sameh Z. A. Dabbak, 2018. "Measurement and Modelling of Leakage Current Behaviour in ZnO Surge Arresters under Various Applied Voltage Amplitudes and Pollution Conditions," Energies, MDPI, vol. 11(4), pages 1-16, April.
    2. Jiazheng Lu & Pengkang Xie & Zhen Fang & Jianping Hu, 2018. "Electro-Thermal Modeling of Metal-Oxide Arrester under Power Frequency Applied Voltages," Energies, MDPI, vol. 11(6), pages 1-13, June.
    3. Erika Stracqualursi & Rodolfo Araneo & Giampiero Lovat & Amedeo Andreotti & Paolo Burghignoli & Jose Brandão Faria & Salvatore Celozzi, 2020. "Analysis of Metal Oxide Varistor Arresters for Protection of Multiconductor Transmission Lines Using Unconditionally-Stable Crank–Nicolson FDTD," Energies, MDPI, vol. 13(8), pages 1-19, April.
    4. Christos A. Christodoulou & Vasiliki Vita & George-Calin Seritan & Lambros Ekonomou, 2020. "A Harmony Search Method for the Estimation of the Optimum Number of Wind Turbines in a Wind Farm," Energies, MDPI, vol. 13(11), pages 1-8, June.

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