Model-based, real-time control of electrical power systems

González, Avelino J.; Morris, Robert; McKenzie, Frederic D.; Carreira, Daniel J.; Gann, B.K.

doi:10.1109/3468.508825

Cited by 12 publications

(5 citation statements)

References 12 publications

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“…The results of these tests illustrated that rapid isolation was attainable (< 0.5 sec.) [14]. Some of the measurements obtained are indicated below.…”

Section: Discussionmentioning

confidence: 99%

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An integrated model-based approach for real-time on-line diagnosis of complex systems

McKenzie

González

Morris

1998

Engineering Applications of Artificial Intelligence

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“…The results of these tests illustrated that rapid isolation was attainable (< 0.5 sec.) [14]. Some of the measurements obtained are indicated below.…”

Section: Discussionmentioning

confidence: 99%

“…The redundantly-supplied loads are the only ones that have a capability to recover from faults. For a more detailed description of the PMAD, refer to Lollar [1988] and Gonzalez [1996].…”

Section: Figure 4 -Load Center Examplementioning

confidence: 99%

An integrated model-based approach for real-time on-line diagnosis of complex systems

McKenzie

González

Morris

1998

Engineering Applications of Artificial Intelligence

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“…A few papers consider large vehicle electric systems: integrated diagnostics of international space station is discussed in [11]; diagnostics of marine vehicle power system in [16]; integrated diagnostics and prognostics of aircraft electric system in [12]. In most of this work, AI-type computational reasoning is used.…”

Section: Motivationmentioning

confidence: 99%

“…The faults enter equations linearly. After pulling together state equations ( 4), ( 5), ( 6) and observation equations ( 10), (11), (12), and (6) and adding noises ξ and η we obtain the linear model of the form (1), (2). In this model x, y, A, and C are given by ( 14), (16); the faults are defined by ( 15) and the fault-related matrices B, D in (1), (2) have the form (17).…”

Section: Sta Model With Faultsmentioning

confidence: 99%

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Estimation of faults in DC electrical power system

Gorinevsky

Boyd

Poll

2009

2009 American Control Conference

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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.

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