分布式电能质量在线监测系统的研究

发布时间：2018-03-17 20:22

本文选题：电能质量监测　切入点：谐波　出处：《河南理工大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着电力行业的发展,电力电子技术的广泛应用以及非线性设备的大量使用,电能质量问题日益成为供用电双方关注的焦点。电能质量监测技术作为电能质量问题的定量衡量和鉴定手段,如何实时、准确监测电力参数是研究的核心内容。电网结构的不断变化,传统的监测系统已经不能满足需求,分布式电能质量在线监测系统急需研发。本文首先介绍了电能质量指标的测量原理,对现存的几种谐波检测方法进行讨论,从嵌入式开发、大规模使用的角度选择了FFT算法;其次对使用FFT算法带来的频谱泄漏和栅栏效应进行了详细分析,提出了基于十项余弦窗的双谱线插值FFT算法,并推导算法和Matlab仿真,验证算法的准确性。根据分布式电能质量在线监测系统的需要,本文给出了基于数字信号处理器TMS320F28335的电能质量监测装置总体设计方案,并对各个电路进行了详细的设计,包括硬件设计和软件设计两部分,完成装置研发。该装置与日本横河功率测试仪WT3000进行对比测量,可以达到预期水平。
[Abstract]:With the development of power industry, the wide application of power electronic technology and the extensive use of nonlinear equipment, Power quality problem has become the focus of attention of both power supply and power supply. Power quality monitoring technology, as a means of quantitative measurement and identification of power quality problems, how to real-time, Accurate monitoring of power parameters is the core of the research. With the continuous change of power network structure, the traditional monitoring system can no longer meet the demand. The distributed on-line power quality monitoring system is in urgent need of development. Firstly, this paper introduces the measuring principle of power quality index, discusses several existing harmonic detection methods, and selects FFT algorithm from the perspective of embedded development and large-scale application. Secondly, the spectrum leakage and fence effect brought by using FFT algorithm are analyzed in detail. A double spectral line interpolation FFT algorithm based on ten cosine windows is proposed, and the algorithm and Matlab simulation are derived. To verify the accuracy of the algorithm. According to the needs of distributed online power quality monitoring system, this paper gives the overall design scheme of power quality monitoring device based on digital signal processor (TMS320F28335), and designs each circuit in detail. It includes two parts: hardware design and software design. The device is compared with the Yokogawa Power Tester (WT3000) and can reach the expected level.
【学位授予单位】：河南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM76

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