Estimation of overhead line condition

Gusavac, S.J.; Nimrihter, M.D.; Geric, Lj.R.

doi:10.1016/j.epsr.2007.05.001

Cited by 11 publications

(3 citation statements)

References 2 publications

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“…Step 3: Calculate the network output using the following relation. (15) Both the equations given above represent the output layer and hidden layer activation function respectively.…”

Section: A2 Neuro Fuzzy Controller (Nfc)mentioning

confidence: 99%

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EMF Estimation of Over Head Transmission Line Using CS Algorithm with Aid of NFC

Sivakami¹,

Subburaj²

2016

ijeei

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In this paper, the cuckoo search (CS) algorithm-neuro fuzzy controller (NFC) technique is proposed for estimating the electric and magnetic field (EMF) of over head transmission line (OHTL). In the proposed method, the CS algorithm is used to optimize the conductor spacing (arrangements) and to minimize the EMF. From the optimized arrangement of the conductors, the EMF of the transmission lines is evaluated and formed as the datasets. Then the optimized data set values are applied to the input of the NFC. Subsequently, the coordinates are given to the input of the NFC which predicts their corresponding EMF data. The proposed method is implemented in the MATLAB working platform. For testing the performance of the proposed estimation methods, two overhead transmission line models with 110 kV and 400 kV respectively are considered. In order to verify the effectiveness of the proposed method this is compared with the CS algorithm-ANN controller.

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“…Step 3: Calculate the network output using the following relation. (15) Both the equations given above represent the output layer and hidden layer activation function respectively.…”

Section: A2 Neuro Fuzzy Controller (Nfc)mentioning

confidence: 99%

“…Fuzzy logic is applied for magnetic field estimations at transformer substations [12]. In fuzzy logic, the overhead line condition index, which symbolizes the numerical expression of the degree of its condition aggravation and the basis for the choice of the maintenance actions to be taken [15].…”

Section: Introductionmentioning

confidence: 99%

EMF Estimation of Over Head Transmission Line Using CS Algorithm with Aid of NFC

Sivakami¹,

Subburaj²

2016

ijeei

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“…It is clearly understood that the material needs some improvement in order to withstand the effects if lightning. The first idea for the solution of the problem is to increase the melting point of the material by using some additives into the molten material [11]. However, the conductive metal should also satisfy 52.5% IACS of minimum conductivity level, as presented in Table 7.…”

Section: Modification Of Aluminium By Inoculating Albmentioning

confidence: 99%

Modification of Conductive Material AA6101 of OPGW Conductors against Lightning Strikes

Karabay¹

2013

SV-JME

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In this article, failure in lightning tests and the overcoming of its destructive effects by improving the new generation of optical grounding wire (OPGW) are presented. The designed composite structure for transmission lines in Turkey is composed of six galvanized steel wires, one stainless steel tube with multiple glass fibres and 12 aluminium alloy AA6101 wires. Test samples from prototype OPGW successfully passed short circuit requirements but failed in tests of lightning strikes. Consequently, a material modification was applied by feeding 3% AlB 2 master alloy as a 9.5 mm rod into molten metal in the tundish when the metal flows from the melting furnace to the vertical log casting mould. Logs cast from AA6101 are used to manufacture feedstock by means of extrusion press. Impaired electrical conductivity of the AA6101 due to the presence of heavy metal impurities such as Ti, Cr and V should be increased to pass the tests. Following this, the transition metals were transformed into insoluble borides from solution after inoculation with AlB 2 . As a result, the conductivity of wires drawn from feedstock produced by extrusion press with the modified AA6101 billets was increased from 52.5 to 57% IACS. Consequently, the modified OPGW with AlB 2 satisfied the requirements of international standards related to lightning tests.

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Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by images

Manninen

Ramlal

Singh

et al. 2022

Electric Power Systems Research

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Estimation of overhead line condition

Cited by 11 publications

References 2 publications

EMF Estimation of Over Head Transmission Line Using CS Algorithm with Aid of NFC

EMF Estimation of Over Head Transmission Line Using CS Algorithm with Aid of NFC

Modification of Conductive Material AA6101 of OPGW Conductors against Lightning Strikes

Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by images

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