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Active shielding for power-frequency magnetic field reduction using genetic algorithms optimisation

Active shielding for power-frequency magnetic field reduction using genetic algorithms optimisation

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An active shielding technique is presented for the reduction of the magnetic field generated by power lines based on the use of active conductors whose positions and currents are found optimally using a genetic algorithm technique. Significant reductions of magnetic flux density into any desired target area are obtained at limited cost.

References

    1. 1)
      • L. Davis . (1991) Handbook of genetic algorithms.
    2. 2)
      • N. Abramowitz , I. Stegun . (1965) Handbook of mathematical functions.
    3. 3)
      • Johnson, J.M., Rahmat-Samii, Y.: `Genetic algorithms in electromagnetics', Digest IEEE. Int. Symp. on Antennas Propagation, 21–26 July 1996, Baltimore, MD, 2, p. 1480–1483.
    4. 4)
    5. 5)
      • G. Winter , J. Periaux , M. Galan , P. Cuesta . (1995) Genetic algorithms in engineering and computer science.
    6. 6)
      • M.L. Hiles , R.G. Olsen , K.C. Holte , D.R. Jensen , K.L. Griffing . Power-frequency magnetic field management using a combination of active and passive shielding technology. IEEE Trans. Power Deliv. , 171 - 179
    7. 7)
    8. 8)
      • L. Davis . (1987) Genetic algorithms and simulated annealing.
    9. 9)
    10. 10)
      • D.S. Weile , E. Michielssen . Genetic algorithm optimization applied to electromagnetics: a review. IEEE Antennas Propag. Mag. , 3 , 343 - 353
    11. 11)
    12. 12)
      • D.E. Goldberg . (1989) Genetic algorithms in search, optimisation and machine learning.
    13. 13)
    14. 14)
      • A.R. Memari , W. Janischewskyj . Mitigation of magnetic field near power lines. IEEE Trans. Power Deliv. , 1577 - 1586
    15. 15)
    16. 16)
      • Celozzi, S.: `Active compensation and partial shields for the power-frequency magnetic field reduction', Proc. IEEE Int. Symp. on Electromagnetic Compatibility, 19–23 August 2002, Minneapolis, USA, p. 222–226.
    17. 17)
      • Y. Rahmat-Samii , E. Michielssen . (1999) Electromagnetic optimization by geneticalgorithms.
    18. 18)
      • The International Agency for Research on Cancer (IARC), ‘Evaluation of carcinogenic risks to humans: static and extremely low frequency electric and magnetic fields. IARC Monographs , 1 - 429
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