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Research on condition assessment for distribution vacuum switch cabinets based on multi-source information fusion

机译:基于多源信息融合的配电真空开关柜状态评估研究

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摘要

Serve as one of the most important equipments in power distribution system, conditions of switch cabinets are closely connected with safety and stability of distribution network and exert great influence on power quality used by customers. But the information applied in the current research of distribution switch cabinet is not comprehensive enough, and the assessment model is not dynamic enough, because of this, a distribution vacuum switch cabinet dynamic condition assessment model based on multi-source information fusion is proposed in this paper. The vacuum switch cabinet is divided into three parts - vacuum circuit breaker, buses and cable outlets. The information used to assess these three parts' conditions concludes ultrasonic results, TEV results, infrared temperature measurement results, vacuum degree, insulation resistance and mechanic parameters. Moreover, environment information, operation information and position information of the switch cabinet are also taken into consideration. Membership functions and scale models are used in the condition assessment. Thus, the historical conditions of the switch cabinet in the past 5 years can be obtained, and Bayes conditional probability model is used to fuse these condition assessment results. In the meantime, the corresponding examples are given to prove the validity of the models proposed in this paper.
机译:作为配电系统中最重要的设备之一,开关柜的状况与配电网络的安全性和稳定性紧密相关,并且对用户使用的电能质量有很大影响。但是目前配电开关柜研究中所采用的信息不够全面,评估模型不够动态,为此,提出了一种基于多源信息融合的配电真空柜动态状态评估模型。纸。真空开关柜分为三部分-真空断路器,母线和电缆出口。用于评估这三个部分条件的信息包括超声结果,TEV结果,红外温度测量结果,真空度,绝缘电阻和机械参数。此外,还考虑了开关柜的环境信息,操作信息和位置信息。成员函数和规模模型用于条件评估。因此,可以获得过去五年中开关柜的历史条件,并使用贝叶斯条件概率模型来融合这些条件评估结果。同时,给出了相应的算例,以证明本文提出的模型的有效性。

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