STOCHASTIC MODELING FOR STATE ESTIMATION IN MIDDLE-VOLTAGE ELECTRIC GRIDS |
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| Natallia Makarava, Sascha Eichstädt |
- Abstract:
- We present two stochastic modelling 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 the seasons and the type of the PV generation units.
- Keywords:
- dynamic state estimation, Kalman filter, pseudo-measurements, nodal load estimation, nodal load observer
- Download:
- IMEKO-WC-2015-TC21-405.pdf
- DOI:
- -
- Event details
- Event name:
- XXI IMEKO World Congress
- Title:
Measurement in Research and Industry
- Place:
- Prague, CZECH REPUBLIC
- Time:
- 30 August 2015 - 04 September 2015