Event-Trigger Strategy Design and Its Comparative Study for Dynamic State Estimation in Power Systems

The wide area measurement systems (WAMS) plays a critical part in power system reliability. Among all the WAMS applications, the dynamic state estimation (DSE) gathers all the data from the phasor measurement units (PMU) through the communication link so that the real-time wide area monitoring is facilitated at the application server to capture the dynamics of every generators. However, the DSE inevitably suffers from the communication link congestion and latency due to the explosive increase of grid size. To deal with this problem, this paper designs the event-trigger cubature Kalman filter (ETCKF) as an effective solution to get the communication burden relieved, by transmitting only the PMU measurements containing innovation. In order to provide the design-oriented strategy, various kinds of event-trigger strategies are evaluated in view of the estimation performance under the same communication rate. Finally, the standard IEEE 39-bus system is under test to verify the feasibility of ETCKF and the performance of various strategies.