Event-triggered multi-area state estimation in power systems

This paper presents a distributed estimation scheme as a possible solution to multi-area state estimation for power systems. The proposed estimation scheme features data-dependent selective sensing and estimation, namely, event-triggered estimation and communication. The triggering event is characterized by the innovation received by the measurements. The proposed scheme can potentially reduce the overhead costs that include communication (bandwidth), data processing and interference, leading to more effective use of the resources.