Skip to content
naulon
Not checkedNot checked for notices yet.

EXTERNAL MAGNETIC FIELD OF URBAN TRANSFORMER SUBSTATIONS AND METHODS OF ITS NORMALIZATION

V. Yu. Rozov, D. Ye. Pelevin, K. D. Pielievina

Electrical engineering & Electromechanics · 2017

doi:10.20998/2074-272x.2017.5.10 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Purpose. Research of external magnetic field of urban transformer substations and the methods it reduction to the standard level in the living quarters of nearby. Methodology. Experiment based on the actual values the measuring magnetic flux density of the alternating magnetic field. Theories of electromagnetic field on quasi-static formulation is basis of external magnetic field of urban transformer substations description. Results. We have made comprehensive experimental researches the magnetic field of a 50 Hz through model urban transformer substations on the external environment. For calculating the external magnetic field of transformer substations the mathematical model of multi-dipole is proposed. It practical uses for induction external magnetic field of calculating created in nearby built in house transformer substations power 715 kVA is proposed. Comparison of results calculation and experiment was conducted. Originality. We have established that magnetic flux density of the magnetic field does not exceed standard level in the living quarters of nearby (0.5 mT) if quarters the location distances of more than 8 m from the transformer substation on the first time. Transformer substations in the built-in houses can create the dangerous to public health magnetic field which induction 1.5-7 mT in neighboring living quarters. It exceeds the normative level in 3-14 times. Practical value. We have proposed normalization methods of the external magnetic field built-in transformer substations. Methods are based on improving construction transformer substations. And methods of external passive and active shielding are considered.

Abstract licence: CC BY-NC

References9

    9 more references, whose wording the paper’s licence keeps private.

    Reads

    Read by people on this page

    None yet.

    Checked or read by AI through naulon

    None yet.

    A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

    Are you an author?

    Is this your paper?

    Claim it to add your note and be paid when agents cite it. Free.