基于EEMD和TLS-ESPRIT的谐波间谐波检测方法

于兴林; 李慧敏; 李天云

引用本文:	于兴林,李慧敏,李天云.基于EEMD和TLS-ESPRIT的谐波间谐波检测方法[J].电力系统保护与控制,2014,42(4):67-72.
	YU Xing-lin,LI Hui-min,LI Tian-yun.An harmonic and inter-harmonic detection method based on EEMD and TLS-ESPRIT[J].Power System Protection and Control,2014,42(4):67-72

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基于EEMD和TLS-ESPRIT的谐波间谐波检测方法
于兴林¹, 李慧敏¹, 李天云²
1.广东电网公司汕尾供电局，广东汕尾 516600;2.东北电力大学电气工程学院，吉林吉林 132012

摘要:

总体平均经验模态分解（EEMD）可以在噪声环境下对信号进行准确的分解，克服了EMD分解过程中产生频率混叠和虚假模态的缺陷。总体最小二成旋转不变技术（TLS-ESPRIT）算法本身具有很好的消噪能力，用TLS-ESPRIT算法可以准确地辨识出信号的参数。结合两者的优点，提出了基于EEMD和TLS-ESPRIT的谐波、间谐波检测方法，结合EEMD分解后的各阶分量的能量来确定电网中真实的谐波、间谐波分量。仿真结果验证了所提方法的可行性和有效性。

关键词: 总体平均经验模态分解 TLS-ESPRIT 信号能量谐波间谐波

DOI：10.7667/j.issn.1674-3415.2014.04.011

分类号:

基金项目:

An harmonic and inter-harmonic detection method based on EEMD and TLS-ESPRIT

YU Xing-lin¹, LI Hui-min¹, LI Tian-yun²

1.Guangdong Power Grid Corporation, Shanwei Power Supply Bureau, Shanwei 516600, China;2.College of Electrical Engineering, Northeast Dianli University, Jilin 132012, China

Abstract:

Ensemble empirical mode decomposition (EEMD) can accurately decompose the signal with noise. It overcomes the shortcomings of empirical mode decomposition (EMD) which can cause the frequency aliasing and false mode in decomposing the signal. TLS-ESPRIT algorithm itself has good noise cancellation capability and can accurately identify the parameters of the signal. A good method is proposed to detect harmonic and inter-harmonic through the use of the advantages of EEMD and TLS-ESPRIT. It determines the real harmonic and inter-harmonic by energy of each order component decomposed by EEMD. Simulation results show the feasibility and effectiveness of the method.

Key words: EEMD TLS-ESPRIT signal energy harmonic inter-harmonic

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