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Research Of Power Quality Monitoring And Recognition System Based On Android

Posted on:2017-01-09Degree:MasterType:Thesis
Country:ChinaCandidate:Y H HanFull Text:PDF
GTID:2272330503957567Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the development of modern science and technology, more and more power electronic devices are used in power transmission, and power load gradually become complicated, which have led to transient power quality problems becoming increasingly prominent. People have focused on the research of transient power quality problems. Effective monitoring and recognition for transient power quality is the key to quickly govern issues.Currently,most of the power quality monitoring are implemented on computer,which makes it subject to geographical restrictions. Smart phone that is a kind of mobile internet terminal becomes more and more popular in people’s lives and it is applied to various fields. The intelligent mobile terminal based on the Android operating system is a typical example. And the Android is based on the Linux kernel, has powerful network data connectivity. This paper establishes a power quality monitoring and recognition system based on the Android operating system. It uses the advantage of light and flexible Android system to overcome the shortcomings of traditional monitoring terminal. And users can view the data status of monitoring points anywhere. This paper focuses on the following:(1) The research status of transient power quality recognition algorithm andmeasuring devices and monitoring software system is introduced. An overview of power quality problems is gived; it highlights the transient power quality classification, and gives the corresponding disturbance signal model.(2) This paper discusses the basic theory of fuzzy C-means clustering algorithm, which is introduced into the power quality recognition. A new transient power quality hierarchical identification method based on fuzzy C-means clustering is proposed. This identification algorithm uses the ensemble empirical mode decomposition(EEMD) and singular value decomposition method to extract effective feature vectors, and uses the fuzzy C-means clustering algorithm as the classifier. Then the disturbance type is identified. At last, this paper proves the accuracy and usefulness of the method by analyzing the signal simulation data and real data.(3) Design of the system. First we introduce the technology architecture and systems framework of the Android platform. Then through system requirements analysis, this paper designs the system overall function framework.And each function module design is gived in detail, including data view functional design, data analysis functional design, disturbance identification functional design, and system setup functional design. Finally, this paper describes the basic principles of Socket communications technology, JDBC technologies and AChartEngine graphics technology.(4) According to the overall design of the system, this paper completes the actual development of the system. The system puts Eclipse, ADT and SDK asdevelopment tools, using Socket technology to achieve the data interaction between server and client, using JDBC technology to access server to obtain database data, using AChartEngine technology to complete the display of data graph in Android client. The system provides the function of viewing data,analyzing data and recognition data for users. And users can view the monitoring point data in the form of table and curve. The instantaneous voltage data is subjected to amplitude, frequency and harmonic analysis. And the signal that may contain transient power quality problems can achieve the recognition of type in this system. Administrator of this system can also use the setup function to manage user information and baseline data information.
Keywords/Search Tags:transient power quality, fuzzy C-means clustering, disturbance identification, Android system, AChartEngine technology
PDF Full Text Request
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