Power Quality Detection Basedon Ensemble-Kalman Filtering

In the continuous progress of modern science and technology,electric energy in all aspects of human activities have an indispensable position,at the same time,this double-edged sword has brought to mankind a lot of harm and trouble.In the process of human activities once controlled electronic devices that will make the electronic network system in the collapse of the collapse of the state,will allow groups or individuals to use electric passive serious waste phenomenon.Therefore,if we can monitor the real-time monitoring circuit and measure the relevant indicators to achieve this goal,it will bring a lot of benefits,and this goal will also become the primary research project of scholars.Because the key to achieve this goal is related to the signal's attention,resulting in a lot of fire related signal pathway and the modern goal unifies,has successfully toward nirvana.The first way to improve the quality of power is to obtain and reduce the noise in the power quality so that the results obtained are always more realistic.This article will be discussed in detail in this respect.In the first step,the article will give a detailed account of the existing approaches to obtaining results.Formally,the existence of these existing pathways is sufficient for us to obtain relatively true,perfect power quality parameters.The second step,this article will show a theory of data processing and data analysis,that is,the method of power quality acquisition based on the ensemble Calman filter.At the same time,this theory has been applied to all fields of human activities,because of the rapid processing of the theory,it can detect the advantages of individual parameters.In the process of our acquisition,the noise is very variable and there is no rule to follow,which increases our difficulty in dealing with noise.In the third step,this article will develop innovative concepts for the background set of signal processing pathways that will allow for better use of our data collection process.The specific step is to ask us to get a background collection for a moment.A series of operations can then be used to actually restore the result.The physical observation of the operation,we can detect the change of the noise,thus describe the noise of start,end,change the maximum value,finally through reducing the noise method for power quality study and true.The first approach to the development of the determination and in-depth evaluation of that work with a specific system: the way to complete more excellent work,which can provide us a more complete dynamic noise,we explore the progress in origin,andmeasure the number of aspects have a very good effect.At the end of this paper,there is an innovative thing--LabVIEW.,which is well tested for good performance.