Voltage sensor validation for decentralized power system monitor using Polynomial chaos theory

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. The validation algorithm leverages on reasonable thresholds of the measurand, computed via Polynomial chaos theory (PCT) and determined based on to the effect of the uncertainty in the system, particularly that of loads. The application of this approach to decentralized state estimation is presented. Numerical results obtained from simulation of a shipboard DC zonal power system are presented.