Experimental measurement, analysis and prediction of electric and magnetic fields in open type air substations

Nicolaou, C.; Papadakis, Antonis P.; Razis, P. A.; Kyriacou, George A.; Sahalos, John N.

doi:10.1016/j.epsr.2012.03.014

Cited by 16 publications

(7 citation statements)

References 13 publications

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“…• Random pulses resulting of switching and lightning [53][54][55], or RF corona emitted from HV equipment [56,57]. • Other noise types classified as white, coloured, pulsing, narrow band [58].…”

Section: Selection Of the Mother Waveletmentioning

confidence: 99%

Creeping discharges features propagating in air at atmospheric pressure on various materials under positive lightning impulse voltage – part 1: noise suppression using the discrete wavelet transform approach

Douar

Béroual

Souche³

2018

IET Generation, Transmission & Distribution

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Section: Selection Of the Mother Waveletmentioning

confidence: 99%

Creeping discharges features propagating in air at atmospheric pressure on various materials under positive lightning impulse voltage – part 1: noise suppression using the discrete wavelet transform approach

Douar

Béroual

Souche³

2018

IET Generation, Transmission & Distribution

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“…To have a clear view of the magnetic distribution, the previous researcher has done mapping of the field distributed via site measurements [12]- [14] or simulations [15], [16]. Deciding on which approach to use are depends on many factors; however, approaches, measurement and simulation have been used in previous research [17]- [19]. Since it is difficult and nearly impossible to measure the magnetic field distribution during disturbances occurrence, computational methods are used to predict and illustrate the real event.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic Compatibility Analysis of Substation Environment using Finite Difference Method

2019

IJITEE

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The implementation of the smart grid system transformed the old substation into a new automated substation. All equipment and component installed in the high voltage substation need to be electromagnetically compatible with each other. Thus, the magnetic field distributed in the environment must be predicted and quantified. Furthermore, with the use of more sensitive microelectronic devices in the system, it creates a need to reassess the substation environment compatibility for current and future circumstances. In this paper, the calculation method used to determine magnetic field distribution within a substation environment has been reviewed. A new routine which allows the user to focus at a specific area of the substation and calculate the field has been developed in-house using MATLAB. The new routine calculates the magnetic field using a finite difference approach and allows a much better field resolution to be achieved in a specific area of interest within the substation.

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“…In recent years, some people and organisations have become more concerned about the effects of exposure to electric and magnetic fields (EMFs) on human health from both power and radiofrequency sources (1,2) . Power EMFs are generated, for example, in the production, transport, distribution and use of electricity (3,4) . Radiofrequency EMFs are produced, for example, by microwave ovens, cordless phones, broadcasting transmissions or medical applications (5,6) .…”

Section: Introductionmentioning

confidence: 99%

Adaptive framework for uncertainty analysis in electromagnetic field measurements

Prieto

Alonso

Rosa

et al. 2014

Radiation Protection Dosimetry

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Misinterpretation of uncertainty in the measurement of the electromagnetic field (EMF) strength may lead to an underestimation of exposure risk or an overestimation of required measurements. The Guide to the Expression of Uncertainty in Measurement (GUM) has internationally been adopted as a de facto standard for uncertainty assessment. However, analyses under such an approach commonly assume unrealistic static models or neglect relevant prior information, resulting in non-robust uncertainties. This study proposes a principled and systematic framework for uncertainty analysis that fuses information from current measurements and prior knowledge. Such a framework dynamically adapts to data by exploiting a likelihood function based on kernel mixtures and incorporates flexible choices of prior information by applying importance sampling. The validity of the proposed techniques is assessed from measurements performed with a broadband radiation meter and an isotropic field probe. The developed framework significantly outperforms GUM approach, achieving a reduction of 28% in measurement uncertainty.

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Experimental measurement, analysis and prediction of electric and magnetic fields in open type air substations

Cited by 16 publications

References 13 publications

Creeping discharges features propagating in air at atmospheric pressure on various materials under positive lightning impulse voltage – part 1: noise suppression using the discrete wavelet transform approach

Creeping discharges features propagating in air at atmospheric pressure on various materials under positive lightning impulse voltage – part 1: noise suppression using the discrete wavelet transform approach

Electromagnetic Compatibility Analysis of Substation Environment using Finite Difference Method

Adaptive framework for uncertainty analysis in electromagnetic field measurements

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