 |
Center for Nonlinear Studies |
Renewable generation penetration levels are expected to rise dramatically in the near future. Due to the variability of renewable generation, high penetration levels will require the system operator to maintain the system at finer time scales. In turn, this requires fast state estimation that can accurately track the state of the system. The most accurate, non-linear state estimators are executed infrequently. This is because they are computationally time consuming and they require many measurements, some of which may be sampled infrequently. Between executions, the state is updated using less accurate estimators (often linear estimators). We developed a state estimation technique that can be computed quickly, using only a few measurements that are sampled frequently. This technique bounds the current state of the system. Generally, few measurements result in loose bounds. However, by selectively placing a few frequently sampled measurements we can find tight bounds on specific 'important' state variables. This state estimation technique allows the system operator to accurately track a few "important" state variables on a fine time scale.
Host: Annarita Giani, D-4 and CNLS, 667-0112