Combined Models for Glaze Ice Accretion and De-Icing of Current-Carrying Electrical Conductors

Huneault, M.; Langheit, Christian; Caron, J.

doi:10.1109/tpwrd.2004.838466

Cited by 64 publications

(28 citation statements)

References 7 publications

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“…To collect data and evaluate the effects of icing weather events, a lot of work has been done on ice loading detection [11], ice accretion modeling [12], [13], numerical simulation techniques [14], statistical analysis [15] and ice melting approaches [16]. In [11], a capacitive measurement of detecting the ice formation and accumulation on an overhead transmission line was used to identify the factors that affect ice accretion.…”

Section: Introductionmentioning

confidence: 99%

“…Statistical analysis with historical data illustrated the pattern of ice loading on transmission lines, failure of towers, and lines tripping [15]. To prevent ice accretion, relevant models for glaze ice accretion and de-icing were discussed in [16]. The de-icing strategies by channeling load current were developed for transmission networks in [17].…”

Section: Introductionmentioning

confidence: 99%

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A Numerical Approach for Hybrid Simulation of Power System Dynamics Considering Extreme Icing Events

Chen

Zhang

et al. 2018

IEEE Trans. Smart Grid

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Abstract-The global climate change leads to more extreme meteorological conditions such as icing weather, which have caused great losses to power systems. Comprehensive simulation tools are required to enhance the capability of power system risk assessment under extreme weather conditions. A hybrid numerical simulation scheme integrating icing weather events with power system dynamics is proposed to extend power system numerical simulation. A technique is developed to efficiently simulate the interaction of slow dynamics of weather events and fast dynamics of power systems. An extended package for PSS/E enabling hybrid simulation of icing event and power system disturbance is developed, based on which a hybrid simulation platform is established. Numerical studies show that the functionality of power system simulation is greatly extended by taking into account the icing weather events.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Numerical Approach for Hybrid Simulation of Power System Dynamics Considering Extreme Icing Events

Chen

Zhang

et al. 2018

IEEE Trans. Smart Grid

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show abstract

“…The current monitoring strategy are mainly based on measuring the weight, angle of insulator, wind speed, temperature and humidity. The equivalent thickness of line icing can be estimated according to measured data [3][4][5], based on that, related staff will be alerted as long as the thickness evaluated beyond a predefined value. However, the actual icing condition is usually distributed non-uniformly along the length of line, thus, the monitoring technique based on the evaluation of equivalent thickness is unable to get more information of icing distribution in details.…”

Section: Introductionmentioning

confidence: 99%

Model updating approach for icing forecast of transmission lines by using particle swarm optimization

Tian¹,

Liang

Zhao

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. With the purpose of predicting icing of transmission lines, a model updating approach is presented in this study. The changes of structural dynamic response of transmission lines that is caused by icing is studied firstly by using finite element method. Then, model updating method and particle swarm optimization is implemented to indentify the thickness of icing according to the alternation of natural frequencies. The results show that the proposed methodology is meaningful to monitor line icing. IntroductionIcing of transmission lines would cause line galloping, insulator flashover and even tower collapse which is a great threat for the operation of power grid [1-2]. Thus, effective monitoring and condition assessment of line icing is the key issue which needs to be solved, and the establishment of icing forecast plays an important role in the operation of power grid.It's very difficult to evaluate the condition of lines manually considering that transmission lines are located sparsely. Hence, the on-line monitoring technique has attracted increasing attentions in engineering application. The current monitoring strategy are mainly based on measuring the weight, angle of insulator, wind speed, temperature and humidity. The equivalent thickness of line icing can be estimated according to measured data [3][4][5], based on that, related staff will be alerted as long as the thickness evaluated beyond a predefined value. However, the actual icing condition is usually distributed non-uniformly along the length of line, thus, the monitoring technique based on the evaluation of equivalent thickness is unable to get more information of icing distribution in details. In this work, a methodology for icing forecasting based on model updating method is presented. The modal frequencies are introduced to identify the icing condition of transmission lines with the help of artificial intelligence technique, and the results show that the proposed approach is able to identify and predict the distribution of icing.

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“…Intheprocessofice-melting,wiretemperaturewillriserapidlyduetoJouleheatgeneratedby thelargecurrent,thusmayexceedthemaximumtemperature(Thepresentstandardsrequirethatthe maximumtemperatureofconductorshouldnotexceed+70℃ inChina).Themechanicalstrengthand theimpactoflifeofconductor,aswellaselectricpowerfittingswillbeaffectedinvaryingdegrees duetooverhightemperature [9] . Thusthispaperanalyzesonthemaximumtemperatureofconductoranditsinfluencingfactors.…”

Section: Introductionmentioning

confidence: 99%

Study on Temperature Characteristics of Ice-covered Conductors during Ice-melting

Wang¹,

He²,

Liu³

et al. 2016

Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2016)

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Abstract. Ice-meltingwithshort-circuitintransmissionlineisthemosteffectivemethodsofde-icing. Conductorwouldbedamagedifrapidlyrisingconductortemperatureexceedstheallowable temperature.Therefore,studyontemperaturecharacteristicofconductorintheprocessofice-melting ensureeffectiveice-meltingandnottodamagethewireinice-meltingprocess.Combinedwiththe thermalice-meltingwithshort-circuitcurrentbalanceofduringice-melting,mathematicaland physicalmodeloficemeltingwasestablished,theinfluencingruleofavarietyoffactorsonthe maximumtemperatureofconductorwasalsoanalyzed.Inaddition,themethodtocalculatethe maximumtemperatureofconductorwasputforward.

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Combined Models for Glaze Ice Accretion and De-Icing of Current-Carrying Electrical Conductors

Cited by 64 publications

References 7 publications

A Numerical Approach for Hybrid Simulation of Power System Dynamics Considering Extreme Icing Events

A Numerical Approach for Hybrid Simulation of Power System Dynamics Considering Extreme Icing Events

Model updating approach for icing forecast of transmission lines by using particle swarm optimization

Study on Temperature Characteristics of Ice-covered Conductors during Ice-melting

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