摘要
针对噪声干扰条件下传统的扩展卡尔曼滤波方法在电力系统频率和谐波估计精度问题,本文提出了基于复数无迹卡尔曼滤波的频率和谐波估计方法。利用欧拉公式,对电力系统信号进行适当变换,获得电力系统信号复数状态空间模型,实现了系统信号频率和谐波估计。为了验证噪声干扰条件下本文方法参数估计有效性,通过在系统信号中增加不同信噪比噪声干扰,分别利用本文方法和通用扩展卡尔曼滤波方法对参数进行估计。结果表明,在噪声干扰条件下,本文方法的估计精度优于通用扩展卡尔曼滤波方法,这表明本文方法更适于强噪声干扰条件下的系统信号频率和谐波估计。
Aimed at the estimation accuracy problem of frequency and harmonics of the power system under noise interference by using traditional complex extended Kalman filter(CEKF),complex unscented Kalman filter(CUKF)based frequency and harmonics estimation for power system is proposed.Based on the power system signal transformation using Euler’s equation,the complex signal state space model of the power system is established.Then,the frequency and harmonics of the power system are estimated.And then,in order to verify the effectiveness of the method under noise interference,the noise with different signal to noise ratio(SNR)is added in the power system signal,the CUKF and CEKF are respectively used to estimate the frequency and harmonics of the power system.The simulation results show that the CUKF is prior to CEKF on estimation accuracy.In other words,the technique proposed in the paper is suitable to estimate frequency and harmonics under strong noise interference.
作者
崔博文
田维
Cui Bowen;Tian Wei(School of Marine Engineering,Jimei University,Xiamen 361021,Fujian,China)
出处
《船电技术》
2021年第7期5-10,共6页
Marine Electric & Electronic Engineering
基金
国家自然科学基金项目资助(51779102)。
