基于多维正态云模型的电力变压器状态评估

章亮; 杨俊杰

章亮,杨俊杰.基于多维正态云模型的电力变压器状态评估[J].电测与仪表,2020,57(4):129-135.
zhangliang,yangjunjie.Condition assessment of power transformers based on multi-dimensional normal cloud model[J].Electrical Measurement & Instrumentation,2020,57(4):129-135.

基于多维正态云模型的电力变压器状态评估

Condition assessment of power transformers based on multi-dimensional normal cloud model

DOI：10.19753/j.issn1001-1390.2020.04.020

中文关键词: 变压器状态评估多维云正态云模型

英文关键词:transformer condition assessment multidimensional cloud normal cloud model

基金项目:国家自然科学基金项目(61202369,61401269,61572311),上海市科技创新行动计划地方院校能力建设项目(17020500900),上海市人才发展资金（201501),上海市教育发展基金会和上海市教育委员会“曙光计划”(17SG51)

作者中文名	作者英文名	单位
章亮	zhangliang	上海电力学院电子与信息工程学院
杨俊杰	yangjunjie	上海电力学院电子与信息工程学院

摘要点击次数: 1921

中文摘要:

针对变压器状态评估中对于定量信息评定的模糊性和随机性问题,本文采用多维正态云模型进行变压器状态评估,其中采用的核空间多维云算法可以有效避免各个指标之间的权重难以权衡的问题。首先,通过对变压器运行数据进行正态云拓展,进而利用正态云发生器不断产生云滴；其次,根据各个指标给定的区间范围拓展为评级标尺云,以数据云所产生的云滴作为输入,采用多维云算法计算出该变压器的运行状态。本文以某台变压器运行信息作为分析对象,通过算例分析验证了该方法的有效性,且证明了方法具有简洁、高效和可靠等特点。

英文摘要:

For the fuzziness and randomness of quantitative information assessment in transformer state assessment, a normal cloud model is used for transformer state assessment. The multi-dimensional cloud algorithm used in this paper can effectively avoid the problem that it is difficult to balance the weights among various indicators. First of all, through the normal cloud expansion of the transformer operation data, cloud droplets are continuously generated using the normal cloud generator. Secondly, according to the scope of the given range of indicators to expand to the rating scale cloud, cloud droplets generated by the data cloud as input, using a multi-dimensional cloud algorithm to calculate the operating status of the transformer. In this paper, the operation information of a certain transformer is taken as the analysis object. The validity of the method is verified by an example, and the method is proved to be simple, efficient and reliable.

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