Temperature Distribution of HBC Fuses with Asymmetric Electric Current Ratios Through Fuselinks

Pleşca, Adrian

doi:10.3390/en11081990

Cited by 11 publications

(7 citation statements)

References 26 publications

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“…Weights 1, 1/2 and 1/3 in (3) were chosen based on the number of thermocouples within the sum. Objective [15], [16], [27]- [30]. Function (2) evaluates the quality of the parameter values applied in the fuse model.…”

Section: Identification Of the Fuse Thermal Parameters Using Dementioning

confidence: 99%

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Identification of the Thermal Parameters for the NH gG Fuse Using the Differential Evolution

et al. 2019

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This paper describes the identification of the thermal parameters for the high breaking capacity low-voltage NH gG fuse. For the process of parameter's determination, a 3D numerical model of the fuse is used together with the measured temperature on the fuse and differential evolution (DE) as the powerful optimizer for optimization problems. DE's main task is to reduce the difference between the measured and calculated fuse temperatures. The classic DE algorithm is compared with three improved DE algorithms that have a reduction of the population size during the optimization process. The results of all four algorithms are compared, and the most favorable choice of algorithm is given for such temperature coefficient calculations. The fuse model is appropriate for the calculation of the fusing temperature, according to the excellent agreement between the measured and calculated fuse temperatures.

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Section: Identification Of the Fuse Thermal Parameters Using Dementioning

confidence: 99%

“…Over the years, different methods [3]- [16] have been used for thermal investigation of fuse links. In [3], the authors investigate the long term behavior of fuse elements at higher thermal stress level.…”

Section: Introductionmentioning

confidence: 99%

Identification of the Thermal Parameters for the NH gG Fuse Using the Differential Evolution

et al. 2019

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“…It should be emphasized the novelty of this approach, that is based on a completely new model of fuse performance, based on polynomial expansion of the inverse of the tripping time in relation to the current root. This fuse performance modeling leaves aside thermal behavior, which may be relevant [24].…”

Section: Introductionmentioning

confidence: 99%

Improving the Power Supply Performance in Rural Smart Grids with Photovoltaic DG by Optimizing Fuse Selection

et al. 2021

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The recent increase in the use of renewable sources in electrical systems has transformed the electrical distribution network with the subsequent implementation of the distributed generation (DG) concept. The high penetration level of photovoltaic units increases their injected fault current that may result in a lack of coordination of fuse reclosers in distribution networks. One of the main protection devices that is generally used in rural distribution networks is the fuse. A correct size selection is key for ensuring good operation and coordination with other protection devices. The DG implementation makes the selection above more difficult, as the current flow both in steady state and in case of short-circuit is subject to alterations. A new protection fuse selection method for distribution networks with implemented DG is proposed in this paper with the aim of ensuring an effective coordination between them, avoiding untimely behaviors. Different case studies have been analyzed (for diverse locations of DG in the network with various penetration levels which represent 25%, 50%, 75%, and 100% of the total installed load), using an IEEE 13-node test feeder. Besides, a new model to analyze fuse performance is proposed in this work. This model has proven to fit the manufacturer’s data well, with a maximum error of 2% within the normal trip current values.

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“…Article [8] presents models demonstrating the fuse wire heating of the fuses. According to the adopted assumptions, these models can also be used for electric cables of small lengths, where the temperature gradient at the ends of the cable was small and where the current flow was close to stationary conditions.…”

Section: Introductionmentioning

confidence: 99%

A Method for Determining the Impact of Ambient Temperature on an Electrical Cable during a Fire

Perka

Piwowarski

2021

Energies

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Evaluating environmental conditions that trigger fire-fighting equipment is one of the primary design tasks that have to be taken into account when engineering electrical systems supplying such devices. All of the solutions are aimed at, among others, preserving environmental parameters in a building being on fire for an assumed time and at a level enabling safe evacuation. These parameters include temperature, thermal radiation, visibility range, oxygen concentration, and environmental toxicity. This article presents a new mathematical model for heat exchange between the environment and an electric cable under thermal conditions exceeding permissible values for commonly used non-flammable installation cables. The method of analogy between thermal and electrical systems was adopted for modelling heat flow. Determining how the thermal conductivity of the cable and the thermal capacity of a conductor-insulation system can be applied to calculate the wire temperature depending on the heating time t and distance x from the heat source is discussed. Thermal conductivity and capacity were determined based on experimental tests for halogen-free flame-retardant (HFFR) cables with wire cross-sections of 2.5, 4.0, and 6.0 mm2. The conducted experimental tests enable verifying the results calculated by the mathematical model.

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Temperature Distribution of HBC Fuses with Asymmetric Electric Current Ratios Through Fuselinks

Cited by 11 publications

References 26 publications

Identification of the Thermal Parameters for the NH gG Fuse Using the Differential Evolution

Identification of the Thermal Parameters for the NH gG Fuse Using the Differential Evolution

Improving the Power Supply Performance in Rural Smart Grids with Photovoltaic DG by Optimizing Fuse Selection

A Method for Determining the Impact of Ambient Temperature on an Electrical Cable during a Fire

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