DocumentCode :
105959
Title :
Fast algorithm for estimating power frequency phasors under power system transients
Author :
Liming Yang ; Zaibin Jiao ; Xiaoning Kang ; Guobing Song ; Jiale Suonan
Author_Institution :
Sch. of Electr. Eng., Xi´an Jiaotong Univ., Xi´an, China
Volume :
9
Issue :
4
fYear :
2015
fDate :
3 5 2015
Firstpage :
395
Lastpage :
403
Abstract :
Power frequency phasors are widely used in the measurement, analysis, control and protection of power systems. When disturbances occur in such systems, power frequency phasors must be estimated quickly to ensure an accurate restoration to normal operation. Hence, a fast and accurate estimation algorithm would be a significantly useful tool. In consideration of the composition of transient signals in power systems, a novel algorithm for power frequency phasor estimation is proposed. Based on the double matrix pencil method, a unitary reference matrix of complex-valued exponential signals is formed. The power frequency phasor estimation is then transformed to a brief multiplication of matrices. Thus, the QR decomposition, generalised eigenvalue calculation, and secondary estimation can be avoided and no complex multiplication is introduced. Therefore, the computational efficiency of the proposed method is improved compared with previous estimation techniques. Analytical and experimental investigations show that the proposed algorithm can extract power frequency phasors accurately, stably and quickly under power system transients.
Keywords :
computational complexity; matrix multiplication; power system faults; power system harmonics; power system reliability; power system restoration; power system transients; QR decomposition; complex-valued exponential signals; computational efficiency; double-matrix pencil method; generalised eigenvalue calculation; matrix multiplication; power frequency phasor estimation; power system analysis; power system control; power system measurement; power system protection; power system transients; secondary estimation; transient signal composition; unitary reference matrix;
fLanguage :
English
Journal_Title :
Generation, Transmission & Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd.2014.0571
Filename :
7062114
Link To Document :
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