Estimation of Faults in DC Electrical Power System
This paper demonstrates a novel optimizationbased
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.
Complete Metadata
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| description | This paper demonstrates a novel optimizationbased 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. |
| distribution |
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| identifier | DASHLINK_868 |
| issued | 2013-12-18 |
| keyword |
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| landingPage | https://c3.nasa.gov/dashlink/resources/868/ |
| modified | 2025-04-01 |
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|
| title | Estimation of Faults in DC Electrical Power System |
