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Spatial and Temporal Characteristics of Insulator Contaminations Revealed by Daily Observations of Equivalent Salt Deposit Density

机译:每日盐当量密度观测值揭示的绝缘子污染的时空特征

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摘要

The accurate estimation of deposits adhering on insulators is of great significance to prevent pollution flashovers which cause huge costs worldwide. Researchers have developed sensors using different technologies to monitor insulator contamination on a fine time scale. However, there is lack of analysis of these data to reveal spatial and temporal characteristics of insulator contamination, and as a result the scheduling of periodical maintenance of power facilities is highly dependent on personal experience. Owing to the deployment of novel sensors, daily Equivalent Salt Deposit Density (ESDD) observations of over two years were collected and analyzed for the first time. Results from 16 sites distributed in four regions of Hubei demonstrated that spatial heterogeneity can be seen at both the fine and coarse geographical scales, suggesting that current polluted area maps are necessary but are not sufficient conditions to guide the maintenance of power facilities. Both the local emission and the regional air pollution condition exert evident influences on deposit accumulation. A relationship between ESDD and PM10 was revealed by using regression analysis, proving that air pollution exerts influence on pollution accumulations on insulators. Moreover, the seasonality of ESDD was discovered for the first time by means of time series analysis, which could help engineers select appropriate times to clean the contamination. Besides, the trend component shows that the ESDD increases in a negative exponential fashion with the accumulation date (ESDD = a − b × exp(−time)) at a long time scale in real environments.
机译:准确估算附着在绝缘子上的沉积物,对于防止在全球范围内造成巨大成本的污染闪络具有重要意义。研究人员已经开发出使用不同技术的传感器,以在精细的时间范围内监视绝缘子的污染。但是,缺乏对这些数据的分析以揭示绝缘子污染的时空特征,因此,对电力设施进行定期维护的时间表高度依赖于个人经验。由于采用了新型传感器,因此首次收集并分析了超过两年的每日等效盐沉积密度(ESDD)观测值。来自湖北四个地区的16个站点的结果表明,在精细和粗糙的地理尺度上都可以看到空间异质性,这表明当前的污染区域图是必要的,但不足以指导电力设施的维护。局部排放和区域空气污染状况都对沉积物积累产生明显影响。通过回归分析揭示了ESDD和PM10之间的关系,证明了空气污染对绝缘子上的污染积累有影响。此外,ESDD的季节性是通过时间序列分析首次发现的,它可以帮助工程师选择适当的时间来清洁污染物。此外,趋势分量表明,在实际环境中,ESDD随累积日期(ESDD = a-b×exp(-time))在较长的时间范围内呈负指数增长。

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