Estimation of faults in DC electrical power system

Authors:
Dimitry Gorinevsky;Stephen Boyd;Scott Poll
Affiliations:
Mitek Analytics LLC, Palo Alto, CA and Information Systems Laboratory, Department of Electrical Engineering, Stanford University, Stanford, CA;Information Systems Laboratory, Department of Electrical Engineering, Stanford University, Stanford, CA;NASA Ames Research Center, Moffet Field, CA
Venue:
ACC'09 Proceedings of the 2009 conference on American Control Conference
Year:
2009

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Abstract

This paper demonstrates a novel optimization-based approach to estimating fault states in a DC power system. The model includes faults changing the circuit topology along with sensor faults. Our approach can be considered as a relaxation of the mixed estimation problem. We develop a linear model of the circuit and pose a convex problem for estimating the faults and other hidden states. A sparse fault vector solution is computed by using l1 regularization. The solution is computed reliably and efficiently, and gives accurate diagnostics on the faults. We demonstrate a real-time implementation of the approach for an instrumented electrical power system testbed at NASA. Accurate estimates of multiple faults are computed in milliseconds on a PC. The approach performs well despite unmodeled transients and other modeling uncertainties present in the system.