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基于改进Dempster-Shafer证据理论的输电线路等值覆冰厚度计算方法 被引量:2

Calculation method of equivalent ice thickness of transmission lines based on improved dempster-shafer evidence theory
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摘要 由于单一覆冰监测传感器特性受限,且雨雪天气下监测环境恶劣复杂,输电线路等值覆冰厚度计算结果存在一定偏差。为提高等值覆冰厚度计算准确性,提出一种基于改进Dempster-Shafer证据理论的等值覆冰厚度多传感器信息融合计算方法。首先对Dempster-Shafer证据理论算法进行改进,计算各种监测方法不同计算特征向量得到的等值覆冰厚度偏离度,根据偏离度采用局部线性加权方法的获得计算权重,并对出现证据冲突的特征量进行弱化,最终得到基于改进Dempster-Shafer证据理论的等值覆冰厚度计算模型。对实际500 kV和220 kV输电线路的多传感器覆冰监测数据进行融合计算,结果表明基于多信息融合技术的等值覆冰厚度计算方法可以有效降低计算误差,平均误差分别仅为3.8%和7.3%。 Due to the limited characteristics of a single ice-covering monitoring sensor and the harsh and complex monitoring environment in rainy and snowy weather,the calculation results of equivalent ice-covering thickness of transmission line have certain deviation.In order to improve the accuracy of the calculation of equivalent ice cover thickness,a multi-sensor information fusion method based on the improved Dempster-Shafer evidence theory is proposed.Firstly,the Dempster-Shafer evidence theory algorithm was improved,the calculation of various monitoring methods of calculating eigenvector equivalent ice thickness deviation,according to the deviation degree of local linear weighting method is used for computing the weight,and appears the characteristics of conflict evidence for weakening,finally obtained based on the improved Dempster-Shafer theory of evidence equivalent ice thickness calculation model.The results show that the calculation method of equivalent ice cover thickness based on multi-information fusion technology can effectively reduce the calculation error,and the average error is only 3.8%and 7.3%,respectively.
作者 洪天炘 刘宇舜 严波 操松元 方登洲 HONG Tianxin;LIU Yushuan;YAN Bo;CAO Songyuan;FANG Dengzhou(State Grid Anhui Electric Power Co.,Ltd.,Hefei 230022,China;State Grid Electric Power Research Institute,Hefei 230601,China)
出处 《自动化与仪器仪表》 2021年第8期126-130,134,共6页 Automation & Instrumentation
基金 国家电网公司科技项目(No.52120519000B)。
关键词 输电线路 覆冰监测 等值覆冰厚度 DEMPSTER-SHAFER证据理论 局部线性加权 transmission line ice monitoring equivalent ice thickness dempster-shafer theory of evidence local linear weighting
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