双种群PSO结合MSWF-ESPRIT的间谐波参数分析  

Inter-harmonics Parameter Analysis via Double Population PSO and MSWF-ESPRIT

作　　者：罗日成[1] 黄彪[1] 杨映滋[1] 

机构地区：[1]长沙理工大学电气与信息工程学院,长沙410014

出　　处：《电力系统及其自动化学报》2014年第8期12-16,33,共6页Proceedings of the CSU-EPSA

基　　金：国家自然科学基金资助项目(50977003)

摘　　要：针对间谐波不易检测的特点,该文提出了一种新的间谐波参数分析方法。首先利用多维纳滤波器的旋转不变技术估计信号参数方法MSWF-ESPRIT(estimation of signal parameters via rotational invariance techniques based of multiple stage wiener filter)对间谐波信号进行频率估计,然后再利用粒子群算法PSO(particle swarm optimization)结合自适应最小均方LMS(least mean square)算法以两种群协同进化的方式对间谐波信号的幅值与相角进行估计。双种群自适应PSO算法的提出提高了算法的收敛速度与粒子位置向量的准确度,减小了陷入局部极值的概率。仿真结果表明,MSWF-ESPRIT算法在较高信噪比下谱估计结果优于总体最小二乘旋转不变子空间。Since inter-harmonics can hardly be detected, a new method for inter-harmonics parameter analysis is pro- posed. Initially, the rate of inter-harmonics signal can be estimated by MSWF-ESPRIT. Then the PSO algorithm com- bined with adaptive LMS via the approach of double the population co-evolutionary is applied to estimate the amplitude and phase of the inter-harmonics. The proposed double population adaptive PSO enhances the speed of the conver- gence and the accuracy of the particle＇s position, and decreases the probability of being trapped in the local extremum. The simulation result illustrated that MSWF-ESPRIT algorithm is better than the total least square-estimation of signal parameters via rotational invariance techniques under the relatively higher SNR spectrum circumstance.

关 键 词：间谐波 双种群粒子群算法 协同进化 多维纳滤波器 旋转不变子空间 

分 类 号：TM712[电气工程—电力系统及自动化]