电能质量算法及其上位机软件的研究

发布时间：2018-05-25 16:20

本文选题：电能质量算法 + S变换　；参考：《太原理工大学》2017年硕士论文

【摘要】：电力行业作为国家基础性产业,为国民经济发展提供能源,与社会发展和人民生活密切相关。一方面,科技的不断进步为电力系统的发展提供了技术支持;另一方面,大量精密仪器设备的使用对电能质量的要求越来越高。电能质量的任何扰动,都有可能给用电行业造成严重的经济损失,甚至可能危及人身安全,因此对电能质量的监测显得尤为重要。本文选择改进的S变换和卡尔曼算法作为分析电能质量的工具,并搭建了一套基于Web GIS电能质量监测系统,实现实时地图显示、热力图显示、实时数据库显示,并进行指标分析。本文的主要研究内容分为以下几点:(1)介绍了课题的研究背景,阐述了电能质量监测系统的国内外研究现状,概述电能质量问题,并研究比较了几种常见的电能质量算法的优缺点,选择了S变换和卡尔曼算法分析电能质量。(2)研究了一种改进的S变换,即快速离散正交S变换算法,首先介绍了离散正交S变换算法,然后指出了该算法的计算复杂度,为了提高算法计算效率,利用矩阵分块技术并结合快速傅里叶变换,实现了快速离散正交S变换。该算法提高了算法的计算效率,降低了算法的计算复杂度,并给出了算法计算复杂度的精确证明。将该算法应用于五种常见的电能质量扰动分析中,定位扰动起止时刻,通过对实际故障录波数据的分析应用,验证了算法的实用性。(3)针对卡尔曼算法无法处理非线性问题的缺点,本文利用无迹变换,实现了无迹卡尔曼滤波算法。在建立的非线性状态空间模型基础上,通过无迹卡尔曼算法,估计基波幅值、频率和直流分量。通过对几组仿真数据的分析,表明无迹卡尔曼滤波算法抗噪声能力强,对频率、直流分量和基波幅值突变以及谐波扰动具有良好的适应性,估计曲线能够比较快速地收敛到稳态值。(4)介绍了电能质量上位机软件的关键技术,包括Web GIS、百度地图API、Ajax局部刷新技术以及Socket通信技术。利用Socket通信技术,将各个监测站点接收的数据实时存储到SQL Server 2005数据库中。基于Microsoft Visual Studio 2010开发平台、采用ASP.NET技术、调用百度地图API、使用C#语言编写了一套基于Web GIS的电能质量监测系统,该系统包括实时地图显示、电压热力图显示、实时数据库显示,以及历史数据的查询与指标分析,添加监测站点等功能,并对这些功能进行了详细的说明。
[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.
【学位授予单位】：太原理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM711

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