Challenge and objective

  • The changes in future power grids are characterized by complexity, uncertainty and speed of changes, turning power systems into dynamical systems with dynamical characteristics.
  • Difficult with state estimation in smart grids because:
    • Expensive phasor measurement units (PMUs)
    • Lack of measurements in the system due to the consumers’ privacy consideration, dangerous accessibility, degradation of electrical equipment.
    • Unknown dynamical characteristics for some system components, especially for distributed generation

Work performed

  • Generated an accurate, robust and comprehensible estimate of operational state of the entire monitored power system (i.e. component’s dynamics, voltages, power angles, currents, power flows).

Significant results

  • A novel modelling approach for power systems with some unknown parts, considering the whole unknown parts of a power system as system-wide unknown inputs flow into the known part.
  • Developed a simultaneous input and state estimation method (SISE) to estimate the states of a partially known system with system-wide unknown inputs.

Impact for distribution system innovation

  • Prevent system-wide failures or blackouts, tune power system stabilizers, improve reliability of system models utilized for dynamic security assessment (DSA) and to design state estimator-based fault detectors.

Magnus Korpås

WP3 Lead
+47 970 42 009
Magnus Korpås
WP3 Lead


References in CINELDI