基于PSO的原子分解法在间谐波分析中的应用  

Application of atomic decomposition based on PSO in inter-harmonics analysis

作　　者：张英杰[1] 龚庆武[1] 李勋[1] 关钦月[1] 贾晶晶[1] 王战胜 

机构地区：[1]武汉大学电气工程学院,湖北武汉430072 [2]新乡供电公司,河南新乡453000

出　　处：《电力系统保护与控制》2013年第15期41-48,共8页Power System Protection and Control

摘　　要：间谐波是非整数倍基波频率的信号,对电能质量会造成严重污染,并降低电力系统可靠性。因此,准确地检测分析间谐波的特征对电力系统安全稳定具有重要意义。首次将基于粒子群优化算法的原子分解法应用于电力系统间谐波检测分析,能够克服传统的匹配追踪算法计算时间过长的缺点。该方法将粒子群优化算法应用于原子分解的迭代优化过程中,通过比较粒子的最佳适应度值,选取最能反应信号特征的最佳匹配原子,完成各次谐波和间谐波分量的提取,而且可以得到时频分辨率很高,且不受交叉项影响的时频分布图,最终完成整个电力系统谐波的准确分析。通过两个仿真算例表明,所提方法准确有效,具有较好的自适应性和抗噪性能,为电力系统间谐波分析提供一种新的途径和方法。Interhannonic is a kind of harmonic signal which is not an integer of the fundamental frequency component. It is harmful to power quality and reduces power system reliability, so measuring inter-harmonics accurately is important to power system safety and stability. This paper introduces the atomic decomposition based on particle swarm optimization to the measurement and analysis of inter-harmonics in power system for the first time, which can overcome the shortcoming such as long computing time of traditional matching pursuit algorithm. This method applies the particle swarm optimization to the atom decomposition iterative optimization process, selects the best matched atoms reflecting the signal feature by comparing the particles＇ best fitness values, extracts harmonics and inter-harmonics component, obtains the time-frequency distribution which has high time-frequency resolution and is independent of the cross-term interference, and finally analyzes the power system harmonic accurately. The two simulation examples indicate the method has high accuracy, better adaptivity and anti-noise abilities. It also provides a new way for the accurate analysis Of power system inter-harmonics.

关 键 词：原子分解 粒子群优化 谐波分析 间谐波 时频分布 

分 类 号：TM711[电气工程—电力系统及自动化]