﻿ 粒子群优化自适应最小二乘法的电网谐波估计

# 粒子群优化自适应最小二乘法的电网谐波估计Estimation of Harmonics in Power Systems Based on Particle Swarm Optimized Recursive Least Square Model

Abstract: This paper presents a method for estimating harmonics in power systems based on particle swarm optimized recursive least square (PSO-RLS) model. The PSO is used to get the optimal initial weights and RLS is used to estimate parameters of harmonic signals. In this way, the method resolves the problem that RLS is sensitive to initial weights. This method is used to analyze both steady-state and dynamic voltage signals. And its performance is revealed by comparing results of difference noise environments. In addition, the dynamic sub harmonic and inter harmonics are analyzed using this method. Simulation results show the performance of the proposed method is better than the VCLMS and GA-RLS ones.

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