發(fā)布時間：2018-05-25 16:20

  本文選題：電能質(zhì)量算法 + S變換��； 參考：《太原理工大學(xué)》2017年碩士論文

【摘要】：電力行業(yè)作為國家基礎(chǔ)性產(chǎn)業(yè),為國民經(jīng)濟(jì)發(fā)展提供能源,與社會發(fā)展和人民生活密切相關(guān)。一方面,科技的不斷進(jìn)步為電力系統(tǒng)的發(fā)展提供了技術(shù)支持;另一方面,大量精密儀器設(shè)備的使用對電能質(zhì)量的要求越來越高。電能質(zhì)量的任何擾動,都有可能給用電行業(yè)造成嚴(yán)重的經(jīng)濟(jì)損失,甚至可能危及人身安全,因此對電能質(zhì)量的監(jiān)測顯得尤為重要。本文選擇改進(jìn)的S變換和卡爾曼算法作為分析電能質(zhì)量的工具,并搭建了一套基于Web GIS電能質(zhì)量監(jiān)測系統(tǒng),實現(xiàn)實時地圖顯示、熱力圖顯示、實時數(shù)據(jù)庫顯示,并進(jìn)行指標(biāo)分析。本文的主要研究內(nèi)容分為以下幾點(diǎn):(1)介紹了課題的研究背景,闡述了電能質(zhì)量監(jiān)測系統(tǒng)的國內(nèi)外研究現(xiàn)狀,概述電能質(zhì)量問題,并研究比較了幾種常見的電能質(zhì)量算法的優(yōu)缺點(diǎn),選擇了S變換和卡爾曼算法分析電能質(zhì)量。(2)研究了一種改進(jìn)的S變換,即快速離散正交S變換算法,首先介紹了離散正交S變換算法,然后指出了該算法的計算復(fù)雜度,為了提高算法計算效率,利用矩陣分塊技術(shù)并結(jié)合快速傅里葉變換,實現(xiàn)了快速離散正交S變換。該算法提高了算法的計算效率,降低了算法的計算復(fù)雜度,并給出了算法計算復(fù)雜度的精確證明。將該算法應(yīng)用于五種常見的電能質(zhì)量擾動分析中,定位擾動起止時刻,通過對實際故障錄波數(shù)據(jù)的分析應(yīng)用,驗證了算法的實用性。(3)針對卡爾曼算法無法處理非線性問題的缺點(diǎn),本文利用無跡變換,實現(xiàn)了無跡卡爾曼濾波算法。在建立的非線性狀態(tài)空間模型基礎(chǔ)上,通過無跡卡爾曼算法,估計基波幅值、頻率和直流分量。通過對幾組仿真數(shù)據(jù)的分析,表明無跡卡爾曼濾波算法抗噪聲能力強(qiáng),對頻率、直流分量和基波幅值突變以及諧波擾動具有良好的適應(yīng)性,估計曲線能夠比較快速地收斂到穩(wěn)態(tài)值。(4)介紹了電能質(zhì)量上位機(jī)軟件的關(guān)鍵技術(shù),包括Web GIS、百度地圖API、Ajax局部刷新技術(shù)以及Socket通信技術(shù)。利用Socket通信技術(shù),將各個監(jiān)測站點(diǎn)接收的數(shù)據(jù)實時存儲到SQL Server 2005數(shù)據(jù)庫中�；贛icrosoft Visual Studio 2010開發(fā)平臺、采用ASP.NET技術(shù)、調(diào)用百度地圖API、使用C#語言編寫了一套基于Web GIS的電能質(zhì)量監(jiān)測系統(tǒng),該系統(tǒng)包括實時地圖顯示、電壓熱力圖顯示、實時數(shù)據(jù)庫顯示,以及歷史數(shù)據(jù)的查詢與指標(biāo)分析,添加監(jiān)測站點(diǎn)等功能,并對這些功能進(jìn)行了詳細(xì)的說明。
[Abstract]:As a national basic industry, electric power industry provides energy for the development of national economy, which is closely related to social development and people's life. On the one hand, the continuous progress of science and technology has provided technical support for the development of power system; on the other hand, the use of a large number of precision instruments and equipment requires more and more high power quality. Any disturbance of power quality may cause serious economic loss to the power industry, and even endanger the personal safety, so it is very important to monitor the power quality. In this paper, the improved S transform and Kalman algorithm are selected as tools to analyze power quality, and a power quality monitoring system based on Web GIS is set up to display the real time map, the thermal map and the real time database. And the index analysis was carried out. The main research contents of this paper are as follows: 1) introduce the research background of the subject, expound the domestic and foreign research status of the power quality monitoring system, summarize the power quality problem, The advantages and disadvantages of several common power quality algorithms are compared. S transform and Kalman algorithm are selected to analyze power quality.) an improved S transform, I. e., fast discrete orthogonal S transform algorithm, is studied. This paper first introduces the discrete orthogonal S transform algorithm, then points out the computational complexity of the algorithm. In order to improve the efficiency of the algorithm, the fast discrete orthogonal S transform is realized by using the matrix partitioning technique and the fast Fourier transform. The algorithm improves the computational efficiency of the algorithm and reduces the computational complexity of the algorithm, and gives an accurate proof of the computational complexity of the algorithm. The algorithm is applied to the analysis of five kinds of power quality disturbances, which can locate the beginning and ending time of the disturbance, and through the analysis and application of the actual fault recording data, The practicability of the algorithm is verified. (3) aiming at the disadvantage that the Kalman algorithm can not deal with the nonlinear problem, the unscented Kalman filtering algorithm is realized by using the unscented transform in this paper. Based on the established nonlinear state space model, the fundamental amplitude, frequency and DC component are estimated by the unscented Kalman algorithm. Through the analysis of several groups of simulation data, it is shown that the unscented Kalman filter algorithm has strong anti-noise ability and good adaptability to frequency, DC component and fundamental wave amplitude mutation and harmonic disturbance. This paper introduces the key technologies of power quality software, including Web, Baidu map API Ajax local refresh technology and Socket communication technology. Using Socket communication technology, the data received by each monitoring station are stored in SQL Server 2005 database in real time. Based on Microsoft Visual Studio 2010 development platform, using ASP.NET technology, calling Baidu map API, and using C # language, a power quality monitoring system based on Web GIS is developed. The system includes real-time map display, voltage thermodynamic chart display and real-time database display. And historical data query and index analysis, add monitoring site and other functions, and these functions are described in detail.
【學(xué)位授予單位】：太原理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM711

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本文編號：1933870