DocumentCode :
75901
Title :
Quantifying Observability in State Estimation
Author :
Brown Do Coutto Filho, Milton ; Stacchini de Souza, Julio C. ; Villavicencio Tafur, Johnny Edward
Author_Institution :
Inst. of Comput., Fluminense Fed. Univ., Rio de Janeiro, Brazil
Volume :
28
Issue :
3
fYear :
2013
fDate :
Aug. 2013
Firstpage :
2897
Lastpage :
2906
Abstract :
Observability means the aptitude for estimating the system state in its entirety from data currently available. As such, the problem of quantifying this aptitude assumes practical interest. Dealing with observable grids, this paper concentrates on proposing indicators capable of establishing unobservability risks. These indicators are based on measurement criticality analyses (with the aid of Venn diagrams) for a given network configuration. They are obtained in terms of the probability of unobservability, assuming that an event has occurred, such as the unavailability of: a single measurement; one pair of measurements; one k-tuple of measurements; a single metering unit; a single network branch; one pair of network branches. The potential/practical application of the proposed indicators is illustrated by the introduction of metric patterns, capable of reducing the information on unobservability risks to a single quantity. Numerical results obtained with the IEEE 14- and 118-bus test systems exemplify the computation of the proposed indicators.
Keywords :
IEEE standards; power grids; power system measurement; power system state estimation; probability; risk analysis; IEEE 118-bus test systems; IEEE 14-bus test systems; metric patterns; network branches; network configuration; observable grids; power system state estimation; single metering unit; single network branch; unobservability probability; unobservability risks; Current measurement; Jacobian matrices; Measurement uncertainty; Observability; Pollution measurement; Power measurement; Voltage measurement; Observability; power system measurements; power systems; redundancy; state estimation;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2013.2241459
Filename :
6472124
Link To Document :
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