Calculation Model of Ice Melting Joule Heat for Overhead Lines

In order to further grasp the overhead rules of transmission line de-icing, this thesis designed and developed a newly transmission line icing apparatus, which can acquire the needed ice thickness covered upon a certain transmission line in laboratory. Combined with the walk-in temperature and humidity box, the temperature tester, current generator and other equipment, enhance the technology research capacity of overhead lines ice-melting. And the software can simulate the overlying ice temperature and cloud distribution changes with time, verify the line ice-melting rules. The method can be easily extended to other types of wires, and has certain application value.

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Analysis of Ice Melting System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.698.710 ◽

2014 ◽

Vol 698 ◽

pp. 710-715

Author(s):

Olga Akhmedova ◽

Anatoly Soshinov

Keyword(s):

Power Systems ◽

Integrated System ◽

Wind Loads ◽

Ice Melting ◽

Electric Networks ◽

Overhead Lines ◽

Regions Of Russia

The problem of preventing icing accidents in electric networks of power systems is relevant in many regions of Russia. Disruptions of overhead lines, caused by intensive icing and icing and wind loads are most severe in their effects. However, the devastating effect of icing is not fatal. This is confirmed by the experience of power systems, systematically carrying on a struggle against ice. Prevention of icing accidents is based on the use of an integrated system of activities in a systematic manner.

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Influence of EMF induced by currents of overhead lines on RMS value of ice-melting current

2015 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW) ◽

10.1109/eiconrusnw.2015.7102266 ◽

2015 ◽

Cited By ~ 1

Author(s):

Nikolay Korovkin ◽

Valeriy Goncharov ◽

Nikolay Silin

Keyword(s):

Ice Melting ◽

Overhead Lines ◽

Melting Current

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A calculation model for determination of impedance of power high voltage single-core cables with polymer insulation

Electrical Engineering & Electromechanics ◽

10.20998/2074-272x.2021.3.08 ◽

2021 ◽

pp. 47-51

Author(s):

G. V. Bezprozvannych ◽

I. A. Kostiukov

Keyword(s):

High Voltage ◽

Proximity Effect ◽

Surface Effect ◽

Characteristic Impedance ◽

Complex Impedance ◽

Calculation Model ◽

Power Cables ◽

Electrical Networks ◽

Overhead Lines ◽

Wide Range

Introduction. The wave parameters of power cables with polymer insulation differ significantly from the parameters of overhead lines and power transformers. As a result, there are more and more objects in electrical networks for which the occurrence of complex multi frequency transients, accompanied by dangerous overvoltages, should be expected. Purpose. To develop a computational model of the complex impedance of high-voltage single-core power cables of coaxial design required to determine the frequency dependencies of the active resistance and inductance of the conductive core and metal shield, taking into account the surface effect and proximity effect. Methodology. The method is based on solving a system of linear algebraic Kirchhoff equations (SLAE) for magnetically coupled contours. SLAE can be used to calculate conductors taking into account the skin effect and proximity effect. Practical value. The developed model is the basis for determining the characteristic impedance of high-voltage single-core power cables in a wide range of frequencies required to establish adequate criteria for evaluating the parameters of high-frequency effects critical for cross linked polyethylene insulation.

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A fuzzy neural network approach for modeling the growth kinetics of FeB and Fe2B layers during the boronizing process

Matériaux & Techniques ◽

10.1051/mattech/2019002 ◽

2018 ◽

Vol 106 (6) ◽

pp. 603 ◽

Cited By ~ 2

Author(s):

Bendaoud Mebarek ◽

Mourad Keddam

Keyword(s):

Neural Network ◽

Experimental Data ◽

Fuzzy Neural Network ◽

Treatment Time ◽

Calculation Model ◽

Average Error ◽

Network Approach ◽

Neural Network Approach ◽

Fuzzy Neural ◽

Kinetics Of

In this paper, we develop a boronizing process simulation model based on fuzzy neural network (FNN) approach for estimating the thickness of the FeB and Fe2B layers. The model represents a synthesis of two artificial intelligence techniques; the fuzzy logic and the neural network. Characteristics of the fuzzy neural network approach for the modelling of boronizing process are presented in this study. In order to validate the results of our calculation model, we have used the learning base of experimental data of the powder-pack boronizing of Fe-15Cr alloy in the temperature range from 800 to 1050 °C and for a treatment time ranging from 0.5 to 12 h. The obtained results show that it is possible to estimate the influence of different process parameters. Comparing the results obtained by the artificial neural network to experimental data, the average error generated from the fuzzy neural network was 3% for the FeB layer and 3.5% for the Fe2B layer. The results obtained from the fuzzy neural network approach are in agreement with the experimental data. Finally, the utilization of fuzzy neural network approach is well adapted for the boronizing kinetics of Fe-15Cr alloy.

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