基于灰色理论的变压器涌流识别研究

发布时间：2018-05-01 17:09

本文选题：变压器 + 继电保护　；参考：《郑州大学》2017年硕士论文

【摘要】：电力变压器在电力系统中起着变换电压等级的关键性作用,可谓是连接电力系统的节点,是非常关键的电力设备,无论是发电环节还是输电环节,变压器都是不可或缺的。变压器的故障往往会导致广泛的影响,导致一定范围区域的供电不稳定,而且变压器的造价昂贵,因此,保障电力变压器的安全可靠运行十分重要。励磁涌流的研究一直是个热点,经过大量学者多年的研究,现有多种方法可以识别励磁涌流,但是各种方法的优缺点也很明显。而和应涌流的研究虽然起步很早,但是相当一段时间以来,并没有受到研究人员的重视,直到最近一些年,学者们才把目光转移到和应涌流的研究上来。本文运用MATLAB/Simlink搭建模型,分别对和应涌流及励磁涌流仿真,详细了阐述了两种涌流的产生原因,同时也分析了两种涌流的特征。灰色系统的意思是指信息不全面、不确定的系统,也可以说是既有确定信息,又有未知信息的系统。励磁涌流以及和应涌流的产生有很大随机性,信息也不全面,因此可以利用灰色系统对其进行识别。本文通过对两种涌流的分析和仿真,选用四种不同的识别指标作为判据,运用层次分析法得出不同指标的权重,得出三个灰类的白化权函数,从仿真结果中提取数据,构造出样本矩阵,再通过计算聚类系数构造聚类向量,得出的数据验证了灰色理论的有效性。
[Abstract]:Power transformer plays a key role in transforming voltage grade in power system. It can be described as the node connecting power system and is a very key power equipment, whether in power generation or transmission, transformers are indispensable. Transformer failures often lead to widespread influence, lead to instability of power supply in a certain area, and the cost of transformers is expensive. Therefore, it is very important to ensure the safe and reliable operation of power transformers. The research of excitation inrush current has been a hot spot. After many years of research by a large number of scholars, many existing methods can identify the inrush current, but the advantages and disadvantages of these methods are also obvious. Although the research on the inrush current has started early, it has not been paid much attention by the researchers until recently, until recently, the scholars turned their attention to the study of the inrush current. In this paper, the MATLAB/Simlink model is used to simulate the inrush current and the excitation inrush current, and the causes of the two inrush currents are explained in detail, and the characteristics of the two inrush currents are also analyzed. Grey system refers to a system with incomplete and uncertain information. It can also be said to be a system with both definite information and unknown information. The generation of inrush current and inrush current is very random, and the information is not comprehensive, so the grey system can be used to identify the inrush current. In this paper, through the analysis and simulation of two kinds of inrush current, four different identification indexes are selected as criteria, the weight of different indexes is obtained by AHP, the whitening weight function of three grey classes is obtained, and the data is extracted from the simulation results. The sample matrix is constructed and the clustering vector is constructed by calculating the clustering coefficient. The validity of the grey theory is verified by the obtained data.
【学位授予单位】：郑州大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM41

【相似文献】