嵌入式电力谐波检测系统的研究与实现
[Abstract]:With the continuous development of power system, a large number of power electronic equipment into the power system, such as frequency conversion equipment, converter equipment and so on. With the increasing of voltage level and the large investment of power electronic devices, harmonic pollution becomes more and more serious. This kind of harmonic pollution not only affects power equipment and communication, but also causes power system accidents. It directly affects people's life safety and social production. Harmonic detection in power system is not only the most important task to reduce harmonic damage, but also the urgent need to ensure the safe and reliable operation of power supply system. For a long time, the safe and economical operation of the equipment only depends on improving the quality of the equipment itself, but the influence of the power quality on it has not been paid much attention. How to minimize the harmonic damage of the power grid has become a problem that needs to be solved urgently. Harmonic detection of power system is the most basic and the most critical link. To improve the power quality to solve the problem of harmonic pollution, we must first measure the harmonic components effectively and accurately, and get the amplitude and frequency of each harmonic. Recently, with the rapid development of embedded technology, arm series microprocessors have become one of the most widely used embedded processors in the market because of their low power consumption, high performance and low cost. In this paper, the harmonic detection algorithm of power system is studied, and several harmonic detection methods are compared from the aspects of calculation speed, measurement precision, portability, easy to realize, adaptive ability and so on. The harmonic processing algorithm based on fast Fourier transform (FFT) is analyzed, and the spectrum leakage and fence effect of FFT in harmonic detection are discussed. A solution based on software phase locked loop is presented. Based on the research of theoretical algorithm, an embedded power harmonic detection system is designed in this paper. The system adopts STM32 processor chip as the core component of the system. Each functional module of the system is composed of signal acquisition unit, signal conditioning unit, data processing unit and data communication unit, etc. The detailed design of the interface circuit and the design of the whole software are given in this paper. Finally, the accuracy and function of the harmonic detection system are verified experimentally. The results show that the harmonic detection system designed in this paper has high measuring accuracy and can meet the requirements of harmonic detection in power system.
【学位授予单位】:华北电力大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:TM935;TP368.1
【共引文献】
相关期刊论文 前10条
1 李强;郭贝贝;;电力谐波智能检测装置设计[J];新乡学院学报(自然科学版);2012年01期
2 付元增;王克昌;;电力系统中谐波的危害及其抑制[J];濮阳职业技术学院学报;2007年04期
3 柯磊,谭佳峰;微弱信号提取中的小波方法研究[J];攀枝花学院学报;2005年03期
4 杨占春,胡子正,孙华;基于小波变换和神经网络的汽车安全部件故障识别[J];汽车技术;2001年02期
5 袁英民,温卫东,孙金立;航空构件超声检测信号小波分析及小波包分析应用研究[J];青岛大学学报(自然科学版);2002年03期
6 孙金立;肖兴明;马驰;高玉章;;用LabVIEW的小波工具处理超声信号中的噪声[J];青岛大学学报(工程技术版);2005年04期
7 刘淑青,于工,曹梦龙;基于离散小波变换的图像数字水印算法[J];青岛科技大学学报(自然科学版);2005年01期
8 范蕤;潘永惠;;基于小波空间的车牌字符识别算法[J];青岛科技大学学报(自然科学版);2008年03期
9 王婉秋;杨松;;结构故障诊断中的小波分解层数选取方法研究[J];强度与环境;2009年04期
10 张东领;王树青;李华军;;基于压力波的海底管道泄漏定位技术的研究[J];中国海洋大学学报(自然科学版);2006年S2期
相关会议论文 前10条
1 郑征;王聪;赵焕;;PWM整流器直接功率控制的新型调制策略[A];第二十七届中国控制会议论文集[C];2008年
2 王小华;王莉;王力;;基于神经网络的电力系统谐波及间谐波高精度检测[A];第二十九届中国控制会议论文集[C];2010年
3 姜放;王志强;李国锋;;三相线电流平衡化补偿方法[A];2011年通信与信息技术新进展——第八届中国通信学会学术年会论文集[C];2011年
4 王红卫;;1200mm冷轧机电气传动控制系统改造[A];全国冶金自动化信息网2012年年会论文集[C];2012年
5 游广增;;电力电容器的谐波分析及一种谐波抑制方法[A];2010年云南电力技术论坛论文集(文摘部分)[C];2010年
6 袁蓉;;电气化铁路负荷对电网的影响[A];2010年云南电力技术论坛论文集(优秀论文部分)[C];2010年
7 平阳乐;陈阿莲;杜春水;张承慧;;基于三电平逆变器的并联型三相四线制有源电力滤波器综述[A];2011中国电工技术学会学术年会论文集[C];2011年
8 王东森;孙勇军;;多维Laplace小波及其在颤振飞行试验中的应用[A];第十届全国空气弹性学术交流会会议论文集[C];2007年
9 梁U,
本文编号:2223083
本文链接:https://www.wllwen.com/kejilunwen/jisuanjikexuelunwen/2223083.html