基于有限时间观测器的电力信号辨识研究  

Research on Power Signal Identification Based on Finite-time Observer

作　　者：胡吕龙 王炳昌 张卫川 张浩 徐浩田 张飞 HU Lv-long;WANG Bing-chang;ZHANG Wei-chuan;ZHANG Hao;XU Hao-tian;ZHANG Fei(Marketing Service Center of State Grid Anhui Electric Power Co.,Ltd.,Hefei 230000,China;China Power Equipment Shandong Electronics Co.,Ltd.,Jinan 250000,China;Henan Xuji Instrument Co.,Ltd.,Xuchang 461000,China)

机构地区：[1]国网安徽省电力有限公司营销服务中心,安徽合肥230000 [2]中电装备山东电子有限公司,山东济南250000 [3]河南许继仪表有限公司,河南许昌461000

出　　处：《控制工程》2022年第3期530-535,共6页Control Engineering of China

基　　金：广东电网有限责任公司科技项目资助项目(037800KK52190004)。

摘　　要：依据傅里叶变换,将电力系统的电压和电流信号归结为多个正弦分量加权叠加而成的有限带宽周期信号,对其进行时频分析的主要目标就是把输入信号分解为不同正弦成分,并估计每个正弦分量的频率、幅值、相角,以提供电力系统状态评价和保护的基本依据。提出并证明了一种基于有限时间观测器理论的估计算法,然后与基于线性观测器的估计算法进行了对比仿真实验,验证了所提算法的性能优势。According to Fourier transform,the voltage and current signals of power system can be summed up as a finite bandwidth periodic signal which is composed of multiple sinusoidal components.The main goal of time-frequency analysis is to decompose the input signal into different sinusoidal components and estimate the frequency,amplitude and phase angle of each sinusoidal component,so as to provide the basic basis for state evaluation and protection of power system.In this paper,an estimation algorithm based on finite-time observer theory is proposed.Then,it is compared with the estimation algorithm based on linear observer in a simulation experiment,and the performance advantage of the proposed algorithm is verified.

关 键 词：电力信号 信号辨识 幅值估计 相角估计 观测器 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]