DocumentCode :
2848418
Title :
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
Link To Document :
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