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Decentralized state estimation of power system is under investigation for the monitoring of modern power system. In this framework, the identification of sensor failure is a critical issue. In this work, a novel method is proposed to achieve this goal, yielding improved reliability of the decentralized power system monitoring. Sensor measurements are validated locally, before they are elaborated....
In this paper, the authors propose an analytical method for estimating the possible worst-case measurement due to the propagation of uncertainty. This analytical method uses polynomial chaos theory (PCT) to formally include the effects of uncertainty as it propagates through an indirect measurement. The main assumption is that an analytical model of the measurement process is available. To demonstrate...
This paper describes the application of polynomial chaos theory, PCT, to create a robust controller. It describes a two-degrees-of-freedom controller that uses the measured states as well as the estimated uncertainty of the measured states as feedback. Using the measured states as feedback rejects disturbances, while using the feedback of the uncertainty states compensates for the inadequacies of...
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