基于改进HHT算法的电力系统低频振荡模态辨识研究

摘要/Abstract

摘要：

针对电力系统低频振荡问题,在运用阻尼转矩对单机无穷大系统分析低频振荡机理与特点的基础上,对低频振荡经验模态分解时存在的端点效应问题进行了理论分析与改进,提出了一种基于端点优化对称延拓法的有效改进EMD分解边界效应的HHT算法对电力系统低频振荡进行辨识。通过对测试信号进行仿真,同时也利用广域FNET监测系统的测试结果进行低频振荡参数辨识及抑制实验,研究了该算法在模式辨识方面的有效性和准确性。仿真和实验表明,基于改进HHT算法的低频振荡辨识方法能快速高精度地辨识出振荡模态信息,并能有效指导电力系统稳定器PSS的配置及参数设计,从而维持电力系统的安全与稳定。

关键词: 低频振荡, HHT算法, 端点效应, 模态辨识, 电力系统稳定器

Abstract:

Aimed at the problem of power system low frequency oscillation, based on analyzing of oscillation mechanism and oscillation characteristics with single-machine infinite bus system, this paper proposed an improved HHT algorithm using end optimization symmetric extension method to identify modal parameters of power system low frequency oscillation. Through simulations with testing signal and restraining experiments utilizing wide-area FNET measurement system, the paper also analyzed the effectiveness and veracity of the proposed algorithm. Simulations and experiments showed that the low-frequency oscillation pattern information can be effectively identified based on the proposed HHT algorithm. At the same time, the proposed method is also proved to have a good help to guide the disposition and parameters’ design of power system stabilizer, thereby the safety and stabilization of power system are maintained.

Key words: Low frequency oscillation, Hilbert-Huang transform algorithm, boundary effect, model identification, power system stabilizer

中图分类号:

TM712

金涛,褚福亮,李威,刘奕路. 基于改进HHT算法的电力系统低频振荡模态辨识研究[J]. 电气工程学报, 2015, 10(6): 58-66.

Jin Tao,Chu Fuliang,Li Wei,Liu Yilu. Research on Power System Low Frequency Oscillation Modal Identification Based on Improved HHT Method[J]. Journal of Electrical Engineering, 2015, 10(6): 58-66.

图/表 16

图1

图2

图3

图4

图5

表1

图6

图7

表2

表3

图8

图9

图10

表4

图11

图12

参考文献 15

[1]	Shojaeian S, Soltani J, Arab Markadeh G . Damping of low frequency oscillations of multi-machine multi-UPFC power systems, based on adaptive input-output feedback linearization control[J]. IEEE Transactions on Power Systems, 2012,27(4):1831-1840. doi: 10.1109/TPWRS.2012.2194313
[2]	薛禹胜, 郝思鹏, 刘俊勇 . 关于低频振荡分析方法的评述[J]. 电力系统自动化, 2009,33(3):1-8.
	Xue Yusheng, Hao Sipeng, Liu Junyong . A review of analysis method for low-frequency oscillations[J]. Automation of Electric Systems, 2009,33(3):1-8.
[3]	马燕峰, 赵书强 . 基于在线辨识和区域极点配置法的电力系统低频振荡协调阻尼控制[J]. 电工技术学报, 2012,27(9):117-123.
	Ma Yanfeng, Zhao Shuqiang . Coordinated damping control of power systems low-frequency oscillation based on on-line identification and region poles assignment[J]. Transactions of China Electrotechnical Society, 2012,27(9):117-123.
[4]	潘学萍, 袁姗姗, 鞠平 , 等. 负荷随机扰动下的电力系统小波模态参数识别[J]. 电力自动化设备, 2012,32(4):6-10.
	Pan Xueping, Yuan Shanshan, Ju Ping , et al. Wavelet-based electromechanical mode shape identification from ambient data of random load excitation[J]. Electric Power Automation Equipment, 2012,32(4):6-10.
[5]	陆超, 吴超, 王天 , 等. 多元自回归滑动平均模型辨识与电力系统自适应阻尼控制[J]. 中国电机工程学报, 2010,30(19):31-36.
	Lu Chao, Wu Chao, Wang Tian , et al. Auto regressive moving averaging vector model identification and power system adaptive damping control[J]. Proceeding of the CSEE, 2010,30(19):31-36.
[6]	杨德昌, C Rehtanz, 李勇 , 等. 基于改进希尔伯特-黄变换算法的电力系统低频振荡分析[J]. 中国电机工程学报, 2010,31(10):102-108.
	Yang Dechang C Rehtanz Li Yong , et al. Researching on low frequency oscillation in power system based on improvementd HHT algorithm[J]. Proceeding of the CSEE, 2010,31(10):102-108.
[7]	陈恩泽, 刘涤尘, 廖清芬 , 等. 多重扰动下的跨区电网低频振荡研究[J]. 电工技术学报, 2014,29(2):290-296.
	Chen Enze, Liu Dichen, Liao Qingfen , et al. Research on low frequency oscillation of interconnected power grid based on multiple disturbances[J]. Transactions of China Electrotechnical Society, 2014,29(2):290-296.
[8]	李成鑫, 刘俊勇, 杨嘉湜 , 等. 频移经验模态分解在低频振荡参数提取中的应用[J]. 电力系统自动化, 2011,35(20):1-6. pmid: 14699990
	Li Chengxin, Liu Junyong, Yang Jiashi , et al. Frequency shift empirical mode decomposition for extracting low frequency oscillation parameters[J]. Automation of Electric Systems, 2011,35(20):1-6. pmid: 14699990
[9]	Laila D S, Messina A R, Pal B C . A refined Hilbert-Huang transform with applications to interarea oscillation monitoring[J]. IEEE Transactions on Power Systems, 2009,24(2):610-620. doi: 10.1109/TPWRS.2009.2016478
[10]	Yao W, Jiang L, Wu Q H , et al. Delay-dependent stability analysis of the power system with a wide-area damping controller embedded[J]. IEEE Transactions on Power System, 2011,26(1):233-240. doi: 10.1109/TPWRS.2010.2093031
[11]	李春艳, 孙元章, 彭晓涛 , 等. 采用广域测量信息反馈的广域PSS参数设计[J]. 电力系统自动化, 2009,33(18):6-11.
	Li Chunyan, Sun Yuanzhang, Peng Xiaotao , et al. Parameter design for wide-area PSS using global signals[J]. Automation of Electric Systems, 2009,33(18):6-11.
[12]	Phadke A G, Kasztenny B . Synchronized phasor and frequency measurement under transient conditions[J]. IEEE Transactions on Power Delivery, 2009,24(1):89-95. doi: 10.1109/TPWRD.2008.2002665
[13]	Zhong Z, Xu C, Billian BJ , et al. Power system frequency monitoring network (FNET) implementa-tions[J]. IEEE Transactions on Power Systems, 2005,20(4):1914-1921. doi: 10.1109/TPWRS.2005.857386
[14]	刘凯, 刘克天, 王晓茹 , 等. 基于FNET 实测数据分析川渝电网频率动态特性[J]. 电力系统保护与控制, 2014,42(3):134-140. doi: 10.7667/j.issn.1674-3415.2014.03.022
	Liu Kai, Liu Ketian, Wang Xiaoru , et al. Frequency dynamics analysis of Sichuan-Chongqing power grid based on the FNET data[J]. Power System Protection and Control, 2014,42(3):134-140. doi: 10.7667/j.issn.1674-3415.2014.03.022
[15]	郑希云, 李兴源, 王渝红 . 基于混沌优化算法的PSS和直流调制的协调优化[J]. 电工技术学报, 2010,25(5):170-175.
	Zheng Xiyun, Li Xingyuan, Wang Yuhong . Coordination and optimization of PSS and HVDC modulations using choatic optimization algorithm[J]. Transactions of China Electrotechnical Society, 2010,25(5):170-175.

模式	幅值/V	衰减因子	振荡频率/Hz
1	15.02	-0.812	1.501
2	10.14	-0.708	0.813
3	5.08	-0.604	0.534

模式	幅值 /V	误差（%）	衰减因子	误差（%）	频率 /Hz	误差（%）
imf1	16.88	12.4	-0.688	15.3	1.288	14.2
imf2	8.68	14.4	-0.59	16.7	0.722	11.2
imf3	4.22	16.9	-0.451	25.3	0.461	13.7
r	3.54	—	-0.019	—	—	—

模式	幅值 /V	误差（%）	衰减因子	误差（%）	频率 /Hz	误差（%）
imf 1	14.89	0.9	-0.788	3.0	1.488	0.9
imf 2	9.89	2.5	-0.691	2.0	0.802	1.4
imf 3	4.88	3.9	-0.583	3.5	0.521	2.4
r	0.2	—	-0.021	—	—	—

模式	幅值/V	衰减因子	振荡频率/Hz
imf 1	1.31	0.264	0.628
imf 2	0.40	0.323	1.248
r	0.12	0.015	—