Optimal Sensor Placement for Partially Known Power System Dynamic Estimation

Conventional steady-state estimates using SCADA systems focus on optimal network topologies to make them observable in steady-state. However, approaches based on steady-state or quasi-steady-state operating conditions are not applicable for power systems experiencing fast and dynamic changes. For these systems, we study power systems monitoring using of phasor measurement unit (PMU). Thanks to these devices, we can obtain fast, precise, and synchronized measurements, making possible dynamic monitoring instead of steady-state estimation only. With these devices, we can exploit simultaneous input and state estimation for a partly unknown power system. However, due to its considerable costs, the use of PMU should be selective. This paper proposes a greedy approach to solve optimal sensor placement for joint input and state estimation of partially known power grids.