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In this paper estimation of three-phase transmission line parameters is done with the help of synchrophasor measurements by using a recursive regression technique based on the Kalman filter. The errors in the regression vector due to presence of noise in the synchrophasor data are also accounted for while estimating the parameters. The performance of this technique is demonstrated for a medium length...
With the growth of inter-utilities power exchanges and the spread of new and rapid monitoring technologies, the efficient modeling of external networks becomes crucial for a reliable and secure operation. This paper investigates the problem of bad data in interconnected networks when real-time evaluated external equivalents are attached. It is shown that, under this scenario, regular techniques of...
This paper proposes a new tracking state estimator aimed at following some of the dynamics of the network state (bus voltage phasors) by a hybrid processing of SCADA and synchronized phasor measurements. The latter are assumed to be available in limited number. To avoid time skew effects, only the SCADA measurements received since the last execution of the estimator are processed. To ensure observability,...
This paper proposes a multistage Phasor-aided Bad Data Detection and Identification (PBDDI) method to improve state estimation accuracy. This method defines a special kind of innovation— the difference between estimated SCADA measurements (calculated from valid PMU state estimates) and raw SCADA measurements, then proposed statistical residual test is used in a cooperative effort for identifying bad...
This paper investigates the bad data detection issues in power system state estimation considering SCADA and PMU measurements. The traditional State Estimator (SE) containing only SCADA measurements, two One Phase SEs and one Two Phase SE are evaluated. The SEs are assessed by considering measurements containing gross and gaussian errors and two classical methods for measurement standard deviations...
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