Active shielding for power-frequency magnetic field reduction using genetic algorithms optimisation
Active shielding for power-frequency magnetic field reduction using genetic algorithms optimisation
- Author(s): S. Celozzi and F. Garzia
- DOI: 10.1049/ip-smt:20040002
For access to this article, please select a purchase option:
Buy article PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Thank you
Your recommendation has been sent to your librarian.
- Author(s): S. Celozzi 1 and F. Garzia 1
-
-
View affiliations
-
Affiliations:
1: Department of Electrical Engineering, University of Rome “La Sapienza”, Rome, Italy
-
Affiliations:
1: Department of Electrical Engineering, University of Rome “La Sapienza”, Rome, Italy
- Source:
Volume 151, Issue 1,
January 2004,
p.
2 – 7
DOI: 10.1049/ip-smt:20040002 , Print ISSN 1350-2344, Online ISSN 1359-7094
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.
Inspec keywords: power cables; magnetic shielding; magnetic flux; genetic algorithms
Other keywords:
Subjects: Electromagnetic compatibility and interference; Optimisation techniques; Power cables
References
-
-
1)
- L. Davis . (1991) Handbook of genetic algorithms.
-
2)
- N. Abramowitz , I. Stegun . (1965) Handbook of mathematical functions.
-
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)
- A.V. Mamishev , R.D. Nevels , B.D. Russell . Effects of conductor sag on spatial distribution of power line magnetic field. IEEE Trans. Power Deliv. , 3 , 1571 - 1576
-
5)
- G. Winter , J. Periaux , M. Galan , P. Cuesta . (1995) Genetic algorithms in engineering and computer science.
-
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)
- G.F. Uler , O.A. Mohammed , C.S. Koh . Utilizing genetic algorithms for the optimal design of electromagnetics devices. IEEE Trans. Magn. , 4296 - 4298
-
8)
- L. Davis . (1987) Genetic algorithms and simulated annealing.
-
9)
- J.A. Vasconcelos , J.A. Ramirez , R.H.C. Takahashi , R.R. Saldanha . Improvements in genetic algorithms. IEEE Trans. Magn. , 5 , 3414 - 3417
-
10)
- D.S. Weile , E. Michielssen . Genetic algorithm optimization applied to electromagnetics: a review. IEEE Antennas Propag. Mag. , 3 , 343 - 353
-
11)
- R.L. Haupt . Comparison between genetic and gradient-based optimization algorithms for solving electromagnetics problems. IEEE Trans. Magn. , 3 , 1932 - 1935
-
12)
- D.E. Goldberg . (1989) Genetic algorithms in search, optimisation and machine learning.
-
13)
- R.L. Haupt . An introduction to genetic algorithms for electromagnetics. IEEE Antennas Propag. Mag. , 2 , 7 - 15
-
14)
- A.R. Memari , W. Janischewskyj . Mitigation of magnetic field near power lines. IEEE Trans. Power Deliv. , 1577 - 1586
-
15)
- J.M. Johnson , Y. Rahmat-Samii . Genetic algorithms in engineering electromagnetics. IEEE Antennas Propag. Mag. , 4 , 7 - 21
-
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)
- Y. Rahmat-Samii , E. Michielssen . (1999) Electromagnetic optimization by geneticalgorithms.
-
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
-
1)