A New Method of Identifying the Low Frequency Oscillations of Power Systems

Author

Zhao, Yishu ; Gao, Yang ; Hu, Zhijian ; Yang, Yongjun ; Zhan, Jie ; Zhang, Yan

Author_Institution

Div. of Electr. Autom., Shandong Electr. Power Res. Inst., Jinan, China

Volume

2

fYear

2009

fDate

16-18 Oct. 2009

Firstpage

19

Lastpage

22

Abstract

To solve the order choice problem in Prony algorithm, active power or voltage signals are usually used by Prony algorithms based on singular values decomposition-total least square (SVD-TLS). Because of the difference in choosing the standard parameters in SVD-TLS method, a new improved Prony algorithm is presented. The new method uses two indexes-- dynamic variation ratio (DVR) and signal to noise ratio (SNR) to prescribe the standard parameter choice. The optimal order in the new algorithm can be chosen dynamically. The correctness and all-sidedness of signal characteristic identification results by the new algorithm are validated by New England 39-bus system.

Keywords

least squares approximations; oscillations; power system faults; singular value decomposition; New England 39-bus system; Prony algorithm; dynamic variation ratio; low frequency oscillations; power systems; signal to noise ratio; singular values decomposition-total least square method; Automation; Damping; Frequency conversion; Frequency synchronization; Least squares methods; Power generation; Power system stability; Power systems; Signal processing; Signal to noise ratio; DVR; SNR; SVD-TLS; improved Prony algorithm; low frequency oscillations; power systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Energy and Environment Technology, 2009. ICEET '09. International Conference on

Conference_Location

Guilin, Guangxi

Print_ISBN

978-0-7695-3819-8

Type

conf

DOI

10.1109/ICEET.2009.241

Filename

5365222