| Zugriffsnummer | 34205 |
| Dokumenttyp | Konferenzartikel |
| Sprache | Englisch |
| Titel | Stochastic modeling for state estimation in middle-voltage electric grids |
| Autor(in); Institution |
Makarava, Natallia; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
Eichstädt, Sascha; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
|
| Quelle/Jahr | XXI IMEKO World Congress August 30 – September 4, 2015, Prague:(2015), 5 S. |
| Herausgeber(in) |
Holub, Jan; Czech Technical University
|
| ISBN | 978-80-01-05793-3 |
| Verlag | Praha: Czech Technical University |
| Konferenzangaben | XXI IMEKO World Congress “Measurement in Research and Industry”, Prague, 30, August - 04, September, 2015, Czech Republic |
| Freie Schlagworte | dynamic state estimation ; Kalman filter ; pseudo-measurements ; nodal load estimation ; nodal load observer |
| Zusammenfassung | We present two stochastic modeling approaches to improve state estimation in low and medium voltage grids. First, a dynamic model for a disturbance observer state estimation is proposed, which introduces a stochastic component into the disturbance dynamics. Second, an approach based on a stochastic electrical power Generation model is considered. This model is based on PV data and incorporates information about seasons and type of the PV generation units. |
