| 摘要: |
| 针对非线性动态负载引起的谐波检测难的问题，提出了一种新的估计电力系统谐波的算法。该算法首先利用混沌粒子群算法（CPSO）的全局搜索性，对未知参数进行优化估计，然后将CPSO算法优化的值作为RLS算法模型的初始权值；最后借助RLS算法进行谐波的有效提取。通过实验仿真，与CPSO算法相比，谐波振幅估计精度最大提高7%，相角估计精度最大提高1.24%。仿真结果表明，该算法在保证收敛速度的同时具有更高的估计精度。 |
| 关键词: 电力系统；谐波估计；CPSO RLS；融合算法 |
| DOI：10.7667/j.issn.1674-3415.2014.12.005 |
| 投稿时间：2013-09-11修订日期：2013-10-21 |
| 基金项目: |
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| Fusion algorithm of harmonic estimation based on CPSO-RLS for power system |
| YI Gu,WANG Qing-rong |
| (Department of Automation, Chongqing Industry Polytechnic College, Chongqing 401120, China;College of Automation, Chongqing University, Chongqing 400044, China) |
| Abstract: |
| Aiming at the difficulty in estimation of harmonics caused by nonlinear dynamic loads, this paper proposes a new method of harmonic estimation. First the algorithm utilizes the global searching capability of the CPSO to optimize the unknown parameters, then the optimized output of CPSO is taken as the initial values of weights for RLS algorithm, and finally the weights are updated using the steps of RLS algorithm. Through the experiment simulation, compared with CPSO algorithm, the maximum estimation accuracy of harmonic amplitude and phase is enhanced about 7% and 1. 24% respectively. The simulation results show that the proposed algorithm can ensure convergence speed, and has higher estimation precision. |
| Key words: power system estimation of harmonic CPSO RLS Fusion algorithm |
