基于集合卡尔曼滤波的电能质量检测

发布时间：2018-08-21 13:05

【摘要】：在现代科技不断进步的过程中,电能在人类活动各个方面都具有着不可取代的地位,与此同时,这把双刃剑也带给了人类许许多多的危害和麻烦。在人类的活动过程中一旦操控过度的电子器件,就会让电子网络系统处于崩坏瓦解状态,也就会让使用电的团体或个人产生严重的被动浪费现象。由此可知,如果能够把实时监控电路,测量相关指标这一目标实现,将会带来很多收益,以此,这一目标也将成为现在学者的首要科研项目。因为实现这一目标的关键在于对相关信号的关注,导致很多很火的现代信号相关专业的途径与上述目标相结合,已经顺利的走向佳境。提高电能质量首要办法是要获取并且减弱电能质量中的噪声存在,这样才能使得获取的结果总有更大的真实性。这篇文章将在这一方面开展详细的探讨。第一步,文章将会对原来已经存在的获取结果的途径开展详细的说明介绍。正式因为这些已存在的途径的存在能足够让我们获取相对真实完美的电能质量参数。第二步,这篇文章将会展现一种处理数据,分析数据的理论,也就是集合卡尔曼滤波法的电能质量获取方法。这个理论在出现的同时就马上被运用于各方各面的人类活动领域,正是因为这个理论的运算步骤处理迅猛,可以检测到单独的参数等优势。在我们检测获取的过程中,噪声变化很大,并且没有规律可循,这就加大了我们减弱处理噪声的难度。第三步,这篇文章将会对上述处理信号途径的背景集合开展创新概念,让这种方法能更好的运用在我们收集采集数据过程中。具体步骤是要求我们先获有一时刻的背景合集。然后可以通过一系列的运算,对结果进行真实还原。再利用物理上的观察运算,我们可以检测到噪声的变化,从而描述出噪声的开始,结束,变化最大值,最后通过减弱噪声等方法开展电能质量的探讨和真实还原。先用一个特定的工作系统对上述的处理途径开展测定与深入评估后发现:上述途径可以完成较为出色的工作,即可以提供给我们较为完整的噪声动态,也就是在追溯起源,探究进展,测量数量方面都有着很好的工作成效。在这片论文的结尾部分还提供了一个有所创新的事物——LabVIEW.这个工程在进行测试后可以得知工作性能完好。
[Abstract]:In the process of continuous progress of modern science and technology, electric energy plays an irreplaceable role in all aspects of human activities, at the same time, this double-edged sword also brings a lot of harm and trouble to mankind. In the course of human activities, once the electronic devices are manipulated excessively, the electronic network system will be in a state of collapse and disintegration, which will also cause a serious passive waste of electricity to groups or individuals. It can be seen that if we can realize the goal of real-time monitoring circuit and measuring related indicators, it will bring a lot of benefits, and this goal will also become the primary research project of scholars now. Because the key to achieve this goal is to pay attention to the related signals, leading to a lot of hot modern signal related professional approaches to combine with the above goals, has been smooth to the good environment. The first way to improve power quality is to obtain and reduce the presence of noise in power quality, so that the obtained results are always more authentic. This article will be discussed in detail in this respect. As a first step, the article will introduce the existing ways of obtaining results in detail. Officially because of the existence of these existing channels can allow us to obtain relatively real and perfect power quality parameters. In the second step, this paper will show a theory of data processing and data analysis, that is, the power quality acquisition method based on set Kalman filter. At the same time, this theory has been applied to the field of human activities on all sides. It is precisely because of the rapid processing of the operation steps of this theory, it can detect the advantages of individual parameters and so on. In the process of detection and acquisition, the noise changes greatly and there is no rule to follow, which makes it more difficult for us to reduce the noise. In the third step, this article will develop an innovative concept of the background set of the above signal processing pathways, so that this method can be used better in the collection of data. The concrete step is to require us to first have a set of background at a time. Then through a series of operations, the results can be truly restored. Using the physical observation operation, we can detect the change of noise, and then describe the beginning, end and maximum change of noise. Finally, we can discuss and restore the real power quality by means of reducing noise and so on. First of all, a specific working system was used to test and evaluate the above processing routes. It was found that the above approaches can accomplish better work, that is, they can provide us with more complete noise dynamics, that is, in tracing the origin. Research progress and quantitative measurement have had good results. At the end of the paper, there is something innovative about LabVIEW.LabVIEW. After testing the project, we can see that the working performance is in good condition.
【学位授予单位】：湖北工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM711;TM930

【参考文献】