基于区间权重和改进云模型的变压器状态评估

发布时间：2018-06-29 01:51

本文选题：变压器 + 正态云模型　；参考：《电力系统保护与控制》2016年23期

【摘要】：针对变压器状态等级边界信息随机性和模糊性的问题,提出建立基于正态云理论的变压器状态评估模型。考虑变压器状态评估数据的有限性,提出对变压器少数运行数据进行正态云处理。对于变压器等级边界模糊性问题,提出对变压器各等级进行适度扩展,建立变压器指标等级正态云。根据不同云滴在数据正态云出现的不同概率,计算变压器数据正态云云滴与各评估指标等级正态云之间的关联度,得到评判矩阵。其次,对变压器运行数据进行区间表示。针对各指标区间数据的波动性,计算区间数据的方差和平均差,进而赋予指标不同的权重,在此基础上进行变压器状态评估。通过分析某台变压器运行数据,验证了该方法应用于变压器状态评估中的有效性。
[Abstract]:In order to solve the problem of randomness and fuzziness of transformer state level boundary information, a transformer state evaluation model based on normal cloud theory is proposed. Considering the limitation of transformer state evaluation data, a normal cloud processing of transformer operation data is proposed. In order to solve the fuzzy problem of transformer grade boundary, it is proposed that the transformer grade should be expanded moderately, and the normal cloud of transformer index grade should be established. According to the different probability of different cloud droplets appearing in the normal cloud, the correlation degree between the normal cloud droplet of transformer data and the normal cloud of each evaluation index grade is calculated, and the judgment matrix is obtained. Secondly, the operation data of transformer are represented by interval. According to the fluctuation of interval data, the variance and average difference of interval data are calculated, and then different weights are given to the indicators, on which the transformer condition is evaluated. By analyzing the operation data of a transformer, the validity of this method in transformer condition evaluation is verified.
【作者单位】：东北电力大学信息工程学院;国网河北省电力公司信息通信分公司;哈尔滨理工大学电气与电子工程学院;
【基金】：吉林省科技发展计划项目(20140204071GX) 国家自然科学基金项目(651277023)~~
【分类号】：TM41

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