电气技术  2015, Vol. 16 Issue (8): 40-44    DOI:
研究与开发 |
随机子空间法在谐波电能计量中的应用
马亮
山东省电力公司安丘供电公司,山东 潍坊 262100
Application of the Stochastic Subspace Identification Method in Harmonic Energy Measurement
Ma Liang
Anqiu Power Supply Company, Shandong Electric Power Corporation, Weifang, Shandong 262100
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摘要 电网中常用的电能计量方法是基波电能和谐波电能分别计量,如何通过电能计量准确分析电网中的谐波电能一直是比较困难的问题。鉴于比较常用的快速傅里叶分析法无法准确分析出谐波相位,小波分析法存在小波基波选取困难,本文提出利用随机子空间法来分析谐波参量。首先通过随机子空间法分析出电网中的谐波电压和谐波电流的详细参量,然后即可计算出相应的谐波电能,实现了谐波电能的准确计算。通过对比分析知,随机子空间法可快速有效的分析出谐波参量,为提高电能计量准确性奠定了理论基础。
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马亮
关键词 电能计量随机子空间谐波检测快速傅里叶变换    
Abstract:The commonly used of energy measurement method is that measure the fundamental and harmonic energy respectively in the grid. However, there is a difficult issues that how to measure the harmonic energy accurately. The fast fourier transform cannot identify the harmonic phase, and the wavelet transform method is difficult to select of wavelet base wave. This paper used the stochastic subspace identification method (SSI) to identify harmonic parameters. Firstly, identify the harmonic parameters of voltage and current base on SSI in the grid. Then work out the harmonic energy which realize the accurate measurement of harmonic energy. The simulation results show that the SSI could identify harmonic parameters accurately and rapidly, which laid a theoretical foundation for the energy measurement.
Key wordsenergy measurement    stochastic subspace identification    harmonic detection    fast fourier transform   
收稿日期: 2015-08-18      出版日期: 2015-08-18
作者简介: 胡伟(1987-),硕士研究生,主要研究方向为现代电力电子与新能源发电技术。
引用本文:   
马亮. 随机子空间法在谐波电能计量中的应用[J]. 电气技术, 2015, 16(8): 40-44. Ma Liang. Application of the Stochastic Subspace Identification Method in Harmonic Energy Measurement. Electrical Engineering, 2015, 16(8): 40-44.
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http://dqjs.cesmedia.cn/CN/Y2015/V16/I8/40