一种基于粒子群优化算法的间谐波分析方法

A Method for Inter-Harmonics Analysis Based on PSO

电网中常存在许多频率与基波成非整数倍的间谐波,准确分析间谐波特征对电力系统具有重要意义。本文首次将粒子群优化算法应用于电力系统间谐波分析,提出了一种BT谱估计与粒子群优化算法相结合的间谐波分析方法。首先通过BT谱估计获取间谐波信号模型的阶数,并得到信号中谐波/间谐波的个数及频率初值,然后应用改进粒子群优化算法对谐波/间谐波的幅值和相位进行参数优化估计,最终实现了间谐波幅值、频率和相位三个特征的较高精度分析。仿真实验结果验证了方法的有效性。

There are often some inter-harmonics in power system, which has not integer times of fundamental frequency. A new approach is presented for inter-harmonics analysis based on BT spectrum analysis and particle swarm optimization （PSO）. The method uses BT spectrum analysis to estimate the order of the inter-harmonics model, and obtains number and frequencies of harmonics. Then PSO algorithm is applied to optimize the harmonic parameters, amplitude and initial phase. The simluation results indicate the effectiveness of the proposed method.