G. Kusic (USA)
State Estimation, Power Systems, Sampled-Data
In compact, 3-phase power systems such as aircraft, spacecraft, and ships, a high data rate of synchronized electrical data samples is available to monitor the network. Data are approximately instantaneous readings of voltages and currents in the network, as opposed to terrestrial networks where averages of voltage, real power, and reactive power are obtained over several cycles of line frequency. This paper formulates a sampled-data State Estimator (SE) with ‘bad data’ detection. Finite difference equations are used to approximate time variations of current and voltage and are used to obtain the state estimate and the covariance matrix to normalize residuals. Deliberate false data readings are introduced in the data snapshot to demonstrate ‘bad data’ detection by the SE algorithm.
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