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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ignatova, V. Styczynski, Z. Granjon, P. Bacha, S. |
| Copyright Year | 2006 |
| Description | Author affiliation: Lab. of ELectr. Eng., Grenoble (Ignatova, V.) |
| 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 |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 2143259 |
| Page Count | 6 |
| File Format | |
| ISBN | 9789171785855 |
| DOI | 10.1109/PMAPS.2006.360328 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-11 |
| Publisher Place | Sweden |
| Access Restriction | Subscribed |
| Rights Holder | KTH |
| Subject Keyword | Power system harmonics Voltage Probability density function Power quality Probability distribution Power systems Laboratories Power system analysis computing Harmonic analysis Steady-state time varying systems data storage Markov processes matrix methods power quality power system harmonics signal prediction signal reconstruction statistics |
| Content Type | Text |
| Resource Type | Article |
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