DocumentCode
1545575
Title
Analysis of massive measurement loss in large-scale power system state estimation
Author
González-Pérez, Carlos ; Wollenberg, Bruce F.
Author_Institution
Perot Syst. Corp., Minneapolis, MN, USA
Volume
16
Issue
4
fYear
2001
fDate
11/1/2001 12:00:00 AM
Firstpage
825
Lastpage
832
Abstract
In the deregulated electric energy market, large-scale network models are necessary to guarantee the reliability of the interconnected power system. These large-scale operating models normally encompass several control areas (CA). The state estimator receives near real time data from these control areas by means of dedicated communication links. The loss of one of the links will deprive the state estimator of a large number of measurements. This paper presents and analyzes the results of state estimator simulations under the total loss of control area measurements in a large regional model. The model selected for simulation is a 2729 bus system. The results obtained indicate that in systems heavily deficient in measurements, the inclusion of only the critical pseudomeasurements that make the system topologically observable results in large estimated angle errors at most of the buses without either a measurement or pseudomeasurement. The results also reveal that the inclusion of injection pseudomeasurements in all the buses of the lost control area provides a stable solution and acceptable results
Keywords
losses; measurement errors; observability; power system control; power system interconnection; power system measurement; power system reliability; power system state estimation; 2729 bus system simulation; control areas; critical pseudomeasurements; dedicated communication links; deregulated electric energy market; estimated angle errors; injection pseudomeasurements; interconnected power system reliability; large regional model; large-scale network models; large-scale power system state estimation; massive measurement loss analysis; observability analysis; real time data; Communication system control; Large-scale systems; Loss measurement; Power measurement; Power system analysis computing; Power system interconnection; Power system measurements; Power system modeling; Power system reliability; State estimation;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.962433
Filename
962433
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