Student Job Fair

Increasing penetrations of DERs bring new challenges for distribution system state estimation mainly because the static estimation techniques which were primarily developed for passive networks can no longer be applied to active distribution networks. The dynamics introduced by inverter-based resources/DERs are spatially uneven and vary vastly in timescales, causing it difficult to apply purely static or dynamic state estimation methods to monitor the entire network. In addition, the uncertainties in DER dynamics further complicate the state estimation task. To address these challenges, combined dynamical and static state estimation methods need to be developed which include a distribution system model consisting of differential and algebraic equations to fully capture the dynamics at different timescales. This panel seeks to elaborate the urgent needs for new estimation methods and discuss potential solutions, including new extended Kalman filter algorithms, relaxation methods to reduce DAE systems to ODE systems, or steady-state and dynamics decoupling methods.