Insulation Coordination for Power Systems

Hileman, A. R.

doi:10.1201/9781420052015

Cited by 216 publications

(158 citation statements)

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“…[22,23] and elsewhere that the energy absorbed by surge arresters shows a probabilistic characteristic when tested to the point of failure. The Weibull cumulative distribution can be assumed to model the energy behavior of the arresters, where the arrester rating is located at four standard deviations below the mean.…”

Section: Probabilistic Characteristics Of Arrester Energy Dischargementioning

confidence: 99%

The significance of median natural lightning current strokes on the energy handling capabilities of surge arresters employed in wind farms

Malcolm

Aggarwal

2016

Renewable Energy

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a b s t r a c tThe significance of the median natural lightning currents on the energy handling capabilities of surge arresters employed in wind farms is investigated. The Electromagnetic Transient Program Alternative Transient Program (EMTP-ATP) was used to simulate direct lightning strikes to the blade of an existing wind turbine in order to determine the current discharged through the surge arresters and hence the energy absorbed by the surge arresters located at different wind turbines. The values of the energy handling capabilities of surge arresters are generally published in manufacturers' datasheets. Yet, the impact of the subsequent lightning strokes is usually ignored. Also, the published energy handling capabilities are based solely on standard waveforms. This contribution uses two sets of natural lightning current parameters measured on instrumented towers at Mount San Salvatore and Morro do Cachimbo, to simulate lightning strikes to the wind turbine blade. The results show that the influence of the subsequent strokes can be significant for the current discharged through the surge arresters and the subsequent energy absorbed, especially at the stricken turbine.

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Section: Probabilistic Characteristics Of Arrester Energy Dischargementioning

confidence: 99%

The significance of median natural lightning current strokes on the energy handling capabilities of surge arresters employed in wind farms

Malcolm

Aggarwal

2016

Renewable Energy

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“…When sparks occur in tandem, within a short time interval, it is necessary to de‐energize the power transmission line . In addition to studies on overvoltage induced by power frequency, lightning and switching as one of the central issues in designing power transmission lines, investigating problems caused by pollution is also necessary . Given the problems caused by pollution, including many reported cases of power failure and the complexity of related issues, there is a great potential for a closer investigation.…”

Section: Solutionsmentioning

confidence: 99%

Reconsidering insulation coordination and simulation under the effect of pollution due to climate change

Valinejad

Firouzifar

Marzband

et al. 2018

Int Trans Electr Energ Syst

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Summary Climate change and air pollution have a direct impact on the performance and lifetime of insulating materials. In recent years, Mazandaran and Golestan provinces in Iran have witnessed a climate change and an increase in air pollution. This problem increases outages and losses in transmission and overhead distribution network. Moreover, traditional and empirical methods have been used for insulation coordination in past decades. As a result, research is needed on the regional power line isolation, revision of insulated surface design, and the number of insulators used. In this paper, a specialized software was used for checking existing lines in Mazandaran and Golestan Regional Power. Insulation computations and isolation studies using MATLAB software were used to present solutions for transmission and overhead distribution networks. This specialized software has the ability to calculate the required minimum air gap and the minimum creepage distance and the number of insulators with due attention to regional pollution, overvoltage due to switching and lightning, and power frequency.

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“…Lightning is one of the main causes of overhead line failures. The lightning performance of an overhead line is usually measured by the number of flashovers per 100 km and year [1]. One or two wires usually shield transmission lines.…”

Section: Introductionmentioning

confidence: 99%

Lightning performance analysis of transmission lines using the Monte Carlo method and parallel computing

Martínez-Velasco

Corea‐Araujo

Bedoui

2018

Ingeniare. Rev. chil. ing.

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An accurate calculation of lightning overvoltages is crucial for the design of overhead lines. Given the random nature of the lightning phenomenon, the procedure to be used must be statistical and generally based on the Monte Carlo method. Several simulation tools have been used to date for estimating the lightning performance of transmission lines. Some popular approaches use an EMTP-like tool. This type of approach has some drawbacks: the line must be represented using a complex and sophisticated model, and the application of a Monte Carlo method requires a high number of runs. A solution to this problem is the usage of a parallel computing environment, which can reduce the simulation time in a ratio close to the number of cores used in calculations. This paper presents a summary of the effort made by the authors for the development of a Monte Carlo procedure aimed at estimating the lightning performance of transmission lines by means of an EMTP-like tool and the use of a multicore installation, in which the EMTP is controlled from a custom-made application implemented in MATLAB.

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Insulation Coordination for Power Systems

Cited by 216 publications

References 0 publications

The significance of median natural lightning current strokes on the energy handling capabilities of surge arresters employed in wind farms

The significance of median natural lightning current strokes on the energy handling capabilities of surge arresters employed in wind farms

Reconsidering insulation coordination and simulation under the effect of pollution due to climate change

Lightning performance analysis of transmission lines using the Monte Carlo method and parallel computing

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