A Trust Based Distributed Kalman Filtering Approach for Mode Estimation in Power Systems

A Trust Based Distributed Kalman Filtering Approach for Mode Estimation in Power Systems

Title : A Trust Based Distributed Kalman Filtering Approach for Mode Estimation in Power Systems
Authors :
Jiang, Tao
Matei, Ion
Baras, John, S.
Conference : First Workshop on Secure Control Systems (SCS) as part of CPSWeek 2010 pp. 1-6
Date: April 01 - April 01, 2010

We consider distributed mode estimation in power systems. The measurements are observed by PMUs (Power Management Units). We introduce a novel model of trust, using weights on the graph links and nodes that represent the networked PMUs. We describe two algorithms that intergarte distributed Kalman filtering with these trust weights. We consider two interpretations of these trust weights as information accuracy and reliability. We show that by appropriate use of these weights from the distributed estimation algorithm avoids using information from untrusted PMUs. Simulation experiments further demonstrate the behavior of these algorithms.

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