STOCHASTIC MODELING FOR STATE ESTIMATION IN MIDDLE-VOLTAGE ELECTRIC GRIDS

• 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:

  _unreg_wc-2015.405

Event details: