DocumentCode :
2592400
Title :
Statistical Matrix Representation Of Time-Varying Electrical Signals. Reconstruction And Prediction Applications
Author :
Ignatova, V. ; Styczynski, Z. ; Granjon, P. ; Bacha, S.
Author_Institution :
Lab. of ELectr. Eng., Grenoble
fYear :
2006
fDate :
11-15 June 2006
Firstpage :
1
Lastpage :
6
Abstract :
Power system currents and voltages magnitudes are time variant due to continual changes in system configuration and load conditions. This paper deals with the statistical description of measured electrical signals. A matrix representation is chosen in order to preserve the information about the temporal evolution of the recorded signal. Two matrix forms are investigated: transitions probabilities (Markov) matrix and transitions number matrix. Their performance is further analyzed in the paper by investigating two of their applications -reconstruction and prediction. In deed, the availability of the information about the time evolution of the recorded data can be used to restore the original signal from its corresponding matrix form. Another possible application is the forecasting of the electrical signals behavior in the future. Both applications are illustrated on measurement data acquired from a real power network
Keywords :
distribution networks; matrix algebra; statistical analysis; transmission networks; power network; power system; statistical matrix representation; time-varying electrical signal; transition probabilities; Harmonic analysis; Laboratories; Power quality; Power system analysis computing; Power system harmonics; Power systems; Probability density function; Probability distribution; Steady-state; Voltage; Markov processes; data storage; matrix methods; power quality; power system harmonics; signal prediction; signal reconstruction; statistics; time varying systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
Conference_Location :
Stockholm
Print_ISBN :
978-91-7178-585-5
Type :
conf
DOI :
10.1109/PMAPS.2006.360328
Filename :
4202340
Link To Document :
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