摘要
当前方法均存在无法适应多种扰动信号的问题,因此,在新基建背景下,对电网电能质量稳定性检测展开新的、深入地研究,提出一种面向新基建的电网电能质量稳定性自动检测方法。为对有用电网电能信号进行提取,首先进行信号噪声消除工作,使用的方法是小波消噪方法。该方法主要通过对含噪信号实施小波分解,并在各层系数内分别处理小于和大于某阈值的对应小波系数,接着对原始信号进行重构来实现信号消噪目的。通过检测奇异点对干扰进行排除,从而提取电网电能质量稳定性扰动特征量。通过电网电能观测信号对状态向量进行选取,构建电能空间状态模型。最后面向新基建,针对构建的电能空间状态模型实施KF-ML滤波(卡尔曼滤波),实现电网电能质量稳定性自动检测。通过进行多种扰动信号下信号奇异敏感性的对比实验测试,证明设计方法在多种扰动信号下均表现出了较强的信号奇异敏感度,能够适应多种扰动信号。
Current methods all have the problem that they cannot adapt to multiple disturbance signals.Therefore,under the background of new infrastructure,a new and in-depth study of power quality stability detection of power grids is carried out,and a new of Detection method infrastructure-oriented power quality stability automatic power grid is proposed..In order to extract the useful power signal of the power grid,the signal noise elimination is first carried out,and the method used is the wavelet noise elimination method.This method mainly implements wavelet decomposition on the noisy signal,and processes the corresponding wavelet coefficients less than and greater than a certain threshold in the coefficients of each layer,and then reconstructs the original signal to achieve the purpose of signal denoising.The interference is eliminated by detecting singular points,so as to extract the disturbance characteristic quantity of power quality stability of the power grid.The state vector is selected by the power observation signal of the power grid,and the spatial state model of the electric energy is constructed.Finally,for the new infrastructure,KF-ML filtering(Kalman filteringis)implemented for the constructed power space state model to realize automatic detection of power quality stability of the power grid.Through the comparative experimental test of signal singularity sensitivity under various disturbance signals,it is proved that the design method shows strong signal singularity sensitivity under various disturbance signals,and can adapt to various disturbance signals.
作者
田娟
刘型志
李松浓
陶学丹
彭鹏
TIAN Juan;LIU Xingzhi;LI Songnong;TAO Xuedan;PENG Peng(State Grid Chongqing Electric Power Co.Marketing Service Center,Chongqing 401121;State Grid Chongqing Electric Power Co.Electric Power Research Institute,Chongqing 401123)
出处
《自动化与仪器仪表》
2021年第9期224-227,231,共5页
Automation & Instrumentation
基金
湖北省自然科学基金资助项目,编号(No.2016CFB386)。
关键词
新基建
电网电能
质量稳定性
自动检测
小波分解
检测奇异点
new infrastructure
power grid
quality stability
automatic detection
wavelet decomposition
detection of singularities
