| 引用本文: | 曲正伟,郝婉茹,王 宁.原子分解快速算法在电能质量扰动分析中的应用[J].电力自动化设备,2015,35(10): |
| QU Zhengwei,HAO Wanru,WANG Ning.Application of atomic rapid decomposition algorithm in power quality disturbance analysis[J].Electric Power Automation Equipment,2015,35(10): |
|
| 摘要: |
| 提出一种原子分解的快速算法，并应用于电能质量扰动信号的分析中。该方法构建相关原子库，并将原子离散的参数连续化，能减少重构信号所需的原子数并使分解结果更准确；针对频率范围较大的谐波、衰减振荡等信号，采用快速傅里叶变换对最优原子频率进行预求解，从而降低原子库规模；采用粒子群优化的匹配追踪算法选出反映电能质量扰动信号特征的最优原子。仿真算例表明，该方法可快速准确地提取电能质量信号的扰动特征，且有较好的抗噪性能。 |
| 关键词: 电能质量 扰动信号 原子分解 连续相关原子库 快速傅里叶变换 粒子群优化 |
| DOI： |
| 分类号: |
| 基金项目: |
|
| Application of atomic rapid decomposition algorithm in power quality disturbance analysis |
|
QU Zhengwei, HAO Wanru, WANG Ning
|
|
Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province，
Yanshan University，Qinhuangdao 066004，China
|
| Abstract: |
| An atomic rapid decomposition method is proposed for the analysis of power quality disturbance signal，which constructs the relative atom dictionary and serializes the discrete parameters of atoms to reduce the atom quantity of the reconstructed signal and make the result more accurate. The fast Fourier transform is adopted to obtain the optimal atom frequency in advance for the signals with wide frequency spans，such as harmonics，damping oscillation，etc.，to reduce the dictionary scale. The matching pursuit algorithm based on the particle swarm optimization is adopted to choose the optimal atom reflecting the characteristics of power quality disturbance signal. Simulative case shows that，with better anti-noise ability，the proposed method can quickly extract the disturbance characteristics of power quality signals. |
| Key words: power quality disturbance signal atomic decomposition continuous coherent dictionary fast Fourier transforms particle swarm optimization |
