- Name
- Magnus Korpås
- Title
- WP3 Lead
- Organization
State estimation algorithm for monitoring distribution grid
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.
References in CINELDI
- M. Abooshahab, M. Hovd, R. Bitmead: "Disturbance and state estimation in partially known power networks", IEEE Conference on Control Technology and Applications (SINTEF Blog).
- R.R. Bitmead, M. Hovd, M. Abooshahab: "A Kalman-filtering derivation of simultaneous input and state estimation", Automatica, 2019.