Metering Scheme Optimization With Emphasis on Ensuring Bad-Data Processing Capability

This paper addresses the optimization of metering schemes employed for power system online monitoring through state estimation. The proposed methodology preserves the state estimator bad-data processing capability while different cost criteria are minimized. This is accomplished by employing an enha...

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Bibliographic Details
Published in:IEEE transactions on power systems 2006-11, Vol.21 (4), p.1903-1911
Main Authors: Coser, J., Costa, A.S., Rolim, J.G.
Format: Article
Language:English
Subjects:
Bad-data processing
Costs
Covariance matrix
Loss measurement
measurement placement
Metering
Monitoring
Observability
On-line systems
Optimization
Power system measurements
Power system modeling
power system observability
Power system reliability
power system state estimation (PSSE)
Preserves
Real time systems
Robustness
State estimation
steady-state genetic algorithms
Terminals
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Summary:This paper addresses the optimization of metering schemes employed for power system online monitoring through state estimation. The proposed methodology preserves the state estimator bad-data processing capability while different cost criteria are minimized. This is accomplished by employing an enhanced topological method to perform observability/criticality analysis on candidate metering schemes. The optimization is carried out by a steady-state genetic algorithm. Extended applications are developed to guarantee robustness in case of loss of a remote terminal unit and to improve existing metering schemes. Results show that the approach adequately fulfills the desired properties related to bad-data processing, cost, and robustness
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2006.881137