Research on Power System Low Frequency Oscillation Modal Identification Based on Improved HHT Method

Abstract

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

CLC Number:

TM712

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.

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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	—