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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 presents a study of bad data analysis in distribution state estimation considering pseudo-measurements given by load models. The bad data analysis is performed using the residual analysis, based on chi-square and normalized residual tests, and the geometrical approach, based on the use of composed measurement error and composed normalized error. This is the first work that assesses the...
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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