基于波束空间ESPRIT算法电力系统谐波检测  

Detection of Power System Harmonic Based on Beamspace ESPRIT

作　　者：程志友[1,2] 左靖坤[2] 陆巍[3] 王家琦[2] 梁昭[2] 高天[2] 

机构地区：[1]教育部电能质量工程研究中心,合肥230039 [2]安徽大学电子信息工程学院,合肥230601 [3]安徽省电力科学研究院,合肥230601

出　　处：《电测与仪表》2012年第12期12-16,27,共6页Electrical Measurement & Instrumentation

基　　金：安徽大学研究生学术创新研究资助项目(NO.yqh100214)

摘　　要：电力系统中谐波检测是无功补偿、谐波滤除等电能质量分析与控制的前提。针对传统电力系统中谐波检测方法存在的精确度低,抗噪性差等问题,本文将波束空间ESPRIT算法应用于电力系统谐波检测。该算法以信号空间为模型,首先用盖氏圆检测出信号源数,然后利用波束空间将阵列接收的数据通过变换得到波束空间的数据,再将波束空间的数据分解为噪声和信号子空间后由ESPRIT算法得到信号的频率估计值。最后由扩展PRONY方法计算得到信号的幅值。通过仿真实验验证和实际数据分析表明该方法速度快,精确度高且抗噪性强,具有一定的应用前景。Harmonic detection in power system is the basis of the analysis and control of power quality, such as reactive power compensation and harmonic filtration. This paper applies Beamspace ESPRIT, with signal spaces as the models, to do harmonic detection to overcome the drawbacks of the traditional methods. Firstly, Gerschgorin disk criterion is employed to detect the source number, then the data acceptable to the array is transformed to get the data of the Beamspace, which is further decomposed to noise subspace and signal subspace. Next, frequency value of the signal is estimated by ESPRIT. Lastly, ＇with the extension of the PRONY method, the amplitude of the signal is achieved. Through simulation experiments and real data analysis, the high speediness and precision of this method, as well as its high quality of anti-noise and applicative prospect are confirmed.

关 键 词：盖氏圆 波束空间 ESPRIT PRONY 谐波检测 

分 类 号：TM744[电气工程—电力系统及自动化]