Study of Thermal Runaway/Equivalent Prorated Model of A ZnO Surge Arrester

Nishiwaki,; Kimura,; Satoh,; Mizoguchi,; Yanabu,

doi:10.1109/mper.1984.5525496

Cited by 13 publications

(8 citation statements)

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“…Each these kinds of heat transfer processes are used for different regions of the MOSA. The conduction plays a major role inside solid elements, while convection and radiation takes place in regions where air or other gaseous substances are present [8,29].…”

Section: Electro‐thermal Model Using Finite Element Methodsmentioning

confidence: 99%

“…In this method, electric current, voltage, electrical capacitances, and resistances model the heat flow, temperature, thermal capacitances, and resistances, respectively. The above parameters have been obtained from experimental measurement in different temperatures [2,5,8,9]. Finite difference method (FDM) and finite element method (FEM) as computational models have been suggested in [5,6,[9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Application of finite element method for electro‐thermal modeling of metal oxide surge arrester

Seyyedbarzegar

Mirzaie

2015

Comp Applic In Engineering

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Analysis of electro‐thermal behavior in various operating condition based on finite element method was proposed in this article. Power frequency and impulse stresses vary the operating region and temperature of surge arresters. Therefore, adaptive power loss was considered as a source in the modeling of surge arrester based on finite element method. Adaptive network based fuzzy inference system and frequency dependent model were used to model power loss in low and high current regions, respectively. To obtain accurate power loss, which is very important factor in electro‐thermal analysis, applied voltage and temperature were considered as inputs in adaptive network based fuzzy inference system model. The experimental setup including impulse generator, power frequency high voltage generator and also an oven was arranged to achieve real data. Finally, the results of simulation based on proposed adaptive method were compared with the thermal infrared camera results. This study shows that the electro‐thermal behavior of surge arrester is predictable with a good accuracy by using artificial model. © 2015 Wiley Periodicals, Inc. Comput Appl Eng Educ 23:910–920, 2015; View this article online at http://wileyonlinelibrary.com/journal/cae; DOI

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Section: Electro‐thermal Model Using Finite Element Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of finite element method for electro‐thermal modeling of metal oxide surge arrester

Seyyedbarzegar

Mirzaie

2015

Comp Applic In Engineering

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“…The natural convection thermal transfer between the surface and the surroundings is described as (2) here is surface natural convective heat transfer coefficient , is environment temperature, , is surface temperature of arrester, , and is surface units. The radiation thermal transfer equation of the arrester's surface satisfies [11] (3)…”

Section: Heat Conduction Described By Femmentioning

confidence: 99%

“…It is difficult to be described precisely by popular methods. A general exponent function was used to simulate the power loss in [2], the precision was not high. And a linear interpolation method was adopted in [6]; this method was difficult to eliminate the noise of experimental results.…”

Section: Ann Simulating Model Of Power Lossesmentioning

confidence: 99%

Thermal characteristics of high voltage whole-solid-insulated polymeric zno surge arrester

Zeng

Chen

et al. 2003

IEEE Trans. Power Delivery

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A new type of 110-kV and 220-kV whole-solid-insulation polymeric ZnO surge arresters is developed. The power loss characteristics of ZnO varistors are discussed, which are simulated by an artificial neural network (ANN) model. The thermal performances of the new developed polymeric arresters are analyzed by the finite element method (FEM). The thermal dispersion capability and thermal stability of the developed whole-solid-insulation polymeric ZnO surge arresters are presented.Index Terms-Artificial neural network, finite element method, power loss, surge arrester, thermal characteristic.

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“…Electro-thermal of MOSA or some parts of it can be modeled in various methods through analogy with electrical circuit and computational simulation [8,9]. Moreover, computational models based on finite difference (FD) and finite element (FE) methods have been suggested in [4,5,[10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Electro-thermal modeling of surge arrester based on adaptive power loss estimation using finite element method

Seyyedbarzegar

Mirzaie

2015

Int. Trans. Electr. Energ. Syst.

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SUMMARYThis paper proposes an adaptive model for electro-thermal analysis of metal oxide surge arresters based on finite element method. The input of the proposed model has been derived from power loss curve using adaptive network based fuzzy inference system (ANFIS). Moreover, degradation factor has been introduced as a new index to represent operating history of metal oxide surge arrester. Therefore, applied voltage, temperature, and degradation factor have been considered as inputs in the ANFIS model to obtain accurate power loss which is of paramount importance in electro-thermal analysis. High voltage experimental setup and an oven have been prepared to acquire data for the proposed model. Degrading effect has been undertaken by measurement of the voltage-current characteristic of used and degraded varistors. The effect of assembling process, in addition, has been considered using different virgin (not degraded) varistors in experimental measurements. In addition, according to the IEC standard, the aging effect has been obtained experimentally by putting the varistor under 115°C and continuous operating voltage for 1000 h. To validate the results of the electro-thermal model, thermal infrared camera has been used under different applied voltages. Obtained results show that the electro-thermal behavior of surge arrester is predictable with high precision through the proposed artificial model. Copyright © 2015 John Wiley & Sons, Ltd.key words: adaptive network based fuzzy; inference system; degradation factor; electro-thermal model; finite element method; power loss; metal oxide surge arrester

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Study of Thermal Runaway/Equivalent Prorated Model of A ZnO Surge Arrester

Cited by 13 publications

References 0 publications

Application of finite element method for electro‐thermal modeling of metal oxide surge arrester

Application of finite element method for electro‐thermal modeling of metal oxide surge arrester

Thermal characteristics of high voltage whole-solid-insulated polymeric zno surge arrester

Electro-thermal modeling of surge arrester based on adaptive power loss estimation using finite element method

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