电力系统自动化2019，Vol.43Issue(4)：70-78,9.DOI:10.7500/AEPS20180124009
含确定性分量和随机噪声分量的宽频带信号分解方法
Decomposition Scheme for Wideband Signals Containing Deterministic Components and Stochastic Noise Components
摘要
Abstract
With rapid increase of the grid-connected equipment based on power electronic converters (such as renewable energy generation, energy storages and electric vehicles), the electrical signals of distribution networks are becoming more and more complex.A wideband signal model of power systems is established, which is composed of deterministic components and stochastic noise components.Based on this signal model, a decomposition scheme for wideband signals is proposed.Firstly, the robust local regression smoothing method is used to extract and filter the stochastic noise components.A determination method for the adaptive threshold based on the estimation of mean and standard deviation is proposed, which is used to decompose the stochastic noise components.Then an adaptive threshold based on the spectrum of interharmonic sub-groups is built to detect the interharmonics.Finally, the Taylor-Fourier transform algorithm is used to estimate the parameters of deterministic components based on the independent sub-signals decomposed by the infinite impulse response filter bank.Simulation results show that the proposed scheme can achieve time-varying interharmonics detection and precise decomposition of wideband signals under the conditions of low signal to noise ratio and frequency dynamics, and the field voltage measurement is decomposed by using the proposed decomposition method.关键词
宽频带信号/信号分解/确定性分量/随机噪声分量Key words
wideband signal/signal decomposition/deterministic components/stochastic noise components引用本文复制引用
靳宗帅,张恒旭,石访,刘舒,方陈,柳劲松..含确定性分量和随机噪声分量的宽频带信号分解方法[J].电力系统自动化,2019,43(4):70-78,9.基金项目
国家重点研发计划资助项目(2017YFB0902800) （2017YFB0902800）
国家自然科学基金重大仪器资助项目(51627811) （51627811）
