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Application of Powell’s optimization method to surge arrester circuit models’ parameters

Author

Listed:
  • Christodoulou, C.A.
  • Vita, V.
  • Ekonomou, L.
  • Chatzarakis, G.E.
  • Stathopulos, I.A.

Abstract

Powell’s optimization method has been used for the evaluation of the surge arrester models parameters. The proper modelling of metal-oxide surge arresters and the right selection of equivalent circuit parameters are very significant issues, since quality and reliability of lightning performance studies can be improved with the more efficient representation of the arresters’ dynamic behavior. The proposed approach selects optimum arrester model equivalent circuit parameter values, minimizing the error between the simulated peak residual voltage value and this given by the manufacturer. Application of the method in performed on a 120 kV metal oxide arrester. The use of the obtained optimum parameter values reduces significantly the relative error between the simulated and manufacturer’s peak residual voltage value, presenting the effectiveness of the method.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:8:p:3375-3380
    DOI: 10.1016/j.energy.2010.04.023
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    Citations

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    Cited by:

    1. Seyyedbarzegar, Seyyed Meysam & Mirzaie, Mohammad, 2015. "Heat transfer analysis of metal oxide surge arrester under power frequency applied voltage," Energy, Elsevier, vol. 93(P1), pages 141-153.
    2. 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.
    3. 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.

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