The introduction of distributed energy resources introduces a lot of uncertainties, and fast dynamics. The consumers’ privacy consideration, lack of measurement units and geographical difficulties call for new methods for distributed monitoring of power grids.
Work performed
Introduced the concept of partially known power grids.
Developed procedures for simultaneous input and state estimation.
Use covariance intersection for data fusion between different sensors.
Introduced fully distributed state estimation for distribution networks.
Significant results
The fast dynamic states and transients of a power network are captured using dynamic procedures.
The number of measurements needed for state estimation was reduced significantly.
All available measurements with different measuring rate including PMUs, SCADA and smart meters are used at the same time.
Impact for distribution system innovation
Can be developed to be used for autonomous self-healing controller systems.
Can be exploited to do sensor placement optimally.
Fault detection scheme can be derived based on the proposed algorithm.
