Research Status of Insulator Contamination Prediction Based on Air Environment Quality and Meteorological Data

LI Te; WU Jinmu; CHEN Qiao; ZHOU Xiangxian; ZHOU Guoliang; JIANG Yukuan

doi:10.13296/j.1001-1609.hva.2017.01.029

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Research Status of Insulator Contamination Prediction Based on Air Environment Quality and Meteorological Data

更新时间：2025-04-26

- Research Status of Insulator Contamination Prediction Based on Air Environment Quality and Meteorological Data
- High VoltageApparatus Vol. 53, Issue 1, Pages: 175-180(2017)
- 作者机构：
  
  1. 国网浙江省电力科学研究院
  2. 国网浙江省电力公司台州供电公司
  3. 国网浙江省电力公司杭州供电公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2017.01.029
  CLC： TM216
- Published：2017
- 稿件说明：
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[1]李特,吴金木,陈乔,周象贤,周国良,蒋瑜宽.基于大气环境质量及气象参数的绝缘子积污预测研究现状[J].高压电器,2017,53(01):175-180.

LI Te, WU Jinmu, CHEN Qiao, et al. Research Status of Insulator Contamination Prediction Based on Air Environment Quality and Meteorological Data[J]. High VoltageApparatus, 2017, 53(1): 175-180.
[1]李特,吴金木,陈乔,周象贤,周国良,蒋瑜宽.基于大气环境质量及气象参数的绝缘子积污预测研究现状[J].高压电器,2017,53(01):175-180. DOI： 10.13296/j.1001-1609.hva.2017.01.029.

LI Te, WU Jinmu, CHEN Qiao, et al. Research Status of Insulator Contamination Prediction Based on Air Environment Quality and Meteorological Data[J]. High VoltageApparatus, 2017, 53(1): 175-180. DOI： 10.13296/j.1001-1609.hva.2017.01.029.

摘要

及时全面掌握电网积污水平是预防电网污闪事故的基础

通过绝缘子积污预测获取污秽水平是适应电网智能化的发展方向

但目前绝缘子积污预测的理论基础不够完善

预测准确性欠缺。文中以上述问题为出发点

对绝缘子积污的外部影响因素进行了分析

对基于大气环境成分、基于气象参数预测绝缘子积污的方法及其准确度、适用性进行了总结。结果表明

大气环境成分、气象参数对绝缘子积污有显著影响;目前基于大气环境成分的绝缘子积污预测尚无法实现饱和污秽度的预测

基于气象参数的绝缘子积污预测尚不能满足工程要求;综合大气环境成分、气象参数两方面数据的预测方法是实现绝缘子饱和积污预测的研究方向。

Abstract

The acquisition of the power grid contamination character is the basement for preventing pollution flashover

which obtained by insulator pollution prediction is the future development direction for adapting the power gird intellectualization. However

the insulator pollution prediction is still imperfect both for the-oretical base and test accuracy. Therefore

the article analyzed the external factors affecting insulator con-tamination. In further

the accuracy and the applicability of insulator contamination prediction method based on air environment composition or based on meteorological data were discussed. It is shown that the insulator contamination characters was both significantly related with air environment composition and mete-orological data. Presently the prediction method based on air environment composition could not calculate the saturate contamination value

the prediction method based on meteorological data were still not matured enough to be used for actual insulator contamination forecast. Method considering both air environment composition and meteorological data could be the future research direction for calculating insulator saturate contamination.

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