Contamination Prediction on Insulators Considering of Meteorology, Geomentric Parameters and Air Pollutant
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Contamination Prediction on Insulators Considering of Meteorology, Geomentric Parameters and Air Pollutant
Vol. 42, Issue 3, Pages: 876-884(2016)
作者机构:
1. 清华大学深圳研究生院
2. 中国南方电网超高压输电公司广州局
3. 南方电网科学研究院
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DOI:
CLC:
Published Online:31 March 2016,
Published:2016
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WANG Liming, LIU Ting, HUANG Rui, et al. Contamination Prediction on Insulators Considering of Meteorology, Geomentric Parameters and Air Pollutant[J]. 2016, 42(3): 876-884.
DOI:
WANG Liming, LIU Ting, HUANG Rui, et al. Contamination Prediction on Insulators Considering of Meteorology, Geomentric Parameters and Air Pollutant[J]. 2016, 42(3): 876-884.DOI:
Contamination Prediction on Insulators Considering of Meteorology, Geomentric Parameters and Air Pollutant
In order to develop a model to predict the severity of contamination deposition which could take account of the effects of the meteorology
geometric parameters of insulators
and air pollutant
we studied the contamination deposition characteristics of post insulators by means of computanational fluid dynamics. Moreover
we analyzed the chemical composition of salt in pollutant on insulators. The results demonstrate that as the wind speed grows
the contamination on the bottom suface rises and remains about the 80% of the maxmium value
while the contamination on the top sufaces increaces first and then decreases. Moreover
the contamination deposition grows as the relative humidity gets bigger
but it will be less than five times of the value as the relative humidity is 30%. The chemcial composition of the salt contamination on insulators is uniform in the same region. At last
the model is verified with an example
and it is revealed that if the relief effect of rainfall is thought over
the predicted value will be less than four times the samples’ mesured value at its worst condition. The proposed new method of contamination prediction can be used for a reference for further researches.