Harmonic analysis of dynamic thermal problems in high voltage overhead transmission lines and buried cables

Więcek, B.; Mey, G. De; Chatziathanasiou, V.; Papagiannakis, A.G.; Theodosoglou, I.

doi:10.1016/j.ijepes.2014.01.031

Cited by 21 publications

(23 citation statements)

References 22 publications

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“…The conductor heating due to solar radiation p s (t) [W/m] is described by (4), where is the absorptivity factor of the conductor; H(t) [W/m 2 ] is the solar radiation at the time instant t and d [m] is the diameter of the conductor. The value of the absorptivity factor β is between 0.27 and 0.95 [13].…”

Section: Solar Heating Of the Conductormentioning

confidence: 99%

“…Several studies deal with analytical numerical methods for assessing the temperature of overhead power line conductors [1][2][3][4][5][6][7][8][9][10], where environmental conditions and heat-balance equations have been applied [11,12].…”

Section: Introductionmentioning

confidence: 99%

“…The authors in [3] determine the maximal loading using conductor temperature measurements and Dynamic Line Rating (DLR) methodology. [4] deals with the time dependent thermal analysis of an overhead transmission line and a buried electric power cable. The temperature is calculated as a function of time using real input data.…”

Section: Introductionmentioning

confidence: 99%

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Identification of the Heat Equation Parameters for Estimation of a Bare Overhead Conductor’s Temperature by the Differential Evolution Algorithm

et al. 2018

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This paper deals with the Differential Evolution (DE) based method for identification of the heat equation parameters applied for the estimation of a bare overhead conductor`s temperature. The parameters are determined in the optimization process using a dynamic model of the conductor; the measured environmental temperature, solar radiation and wind velocity; the current and temperature measured on the tested overhead conductor; and the DE, which is applied as the optimization tool. The main task of the DE is to minimise the difference between the measured and model-calculated conductor temperatures. The conductor model is relevant and suitable for the prediction of the conductor temperature, as the agreement between measured and model-calculated conductor temperatures is exceptional, where the deviation between mean and maximum measured and model-calculated conductor temperatures is less than 0.03 °C.

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Section: Solar Heating Of the Conductormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Identification of the Heat Equation Parameters for Estimation of a Bare Overhead Conductor’s Temperature by the Differential Evolution Algorithm

et al. 2018

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“…Various types of cable installation are studied such as cable laying in the high‐density polyethylene casing pipes filled with sand‐bentonite mixture, and laying in the fluidised thermal backfill bedding, buried in the native soil. On the other hand, some studies dealing with dynamic thermal analysis of an underground cable operating under a continuously changing load are reported in [13, 14]. The comparison between the steady state and dynamic analysis is also investigated in [13].…”

Section: Introductionmentioning

confidence: 99%

Thermal analysis of high‐voltage cables with several types of insulation for different configurations in the presence of harmonics

Shazly

Mostafa²,

Ibrahim³

et al. 2017

IET Generation, Transmission & Distribution

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“…The standard model includes IEC model and IEEE model [5][6], by which the ampacity of conductors may be estimated on condition of different weather as well as carrying current. While the thermal circuit model introduces thermoelectricity analogy theory into IEEE model to simplify the complicated heat transfer computation of conductors [7][8][9]. By this way, conductors' thermal dynamic process can be deduced through less parameters, elevating model's effectivity when applied into dynamic capacity-increase.…”

Section: Introductionmentioning

confidence: 99%

Current-temperature model of ACCC conductors based on GA identification method

Tong¹,

Zhang²

2017

2nd Annual International Conference on Energy, Environmental &Amp; Sustainable Ecosystem Development (EESED 2016)

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As a new energy-saving conductor, ACCC conductor, which has the advantages of low weight, high conductivity, can double the ampacity of conventional conductors. However due to the differences between ACCC conductor and conventional conductors, present current-temperature model cannot be directly applied into the ampacity calculating of ACCC conductor. Consequently, the transmission capacity of ACCC conductor is limited. To address this problem, a current-temperature model for ACCC conductor based on thermal equilibrium principle and thermoelectricity analogy theory is proposed in this paper. Then, a GA identification method is employed to identify the model parameters. In order to validate the proposed model, an experiment platform is set up and the experiment results are presented and discussed.

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Harmonic analysis of dynamic thermal problems in high voltage overhead transmission lines and buried cables

Cited by 21 publications

References 22 publications

Identification of the Heat Equation Parameters for Estimation of a Bare Overhead Conductor’s Temperature by the Differential Evolution Algorithm

Identification of the Heat Equation Parameters for Estimation of a Bare Overhead Conductor’s Temperature by the Differential Evolution Algorithm

Thermal analysis of high‐voltage cables with several types of insulation for different configurations in the presence of harmonics

Current-temperature model of ACCC conductors based on GA identification method

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