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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mai-Hoa Vuong Lefebvre, S. Lagace, P.-J. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Electr. Eng., Quebec Univ., Montreal, Que., Canada (Mai-Hoa Vuong) |
| Abstract | Without redundancy of independent measurements, detection and thus identification of gross errors are impossible. Lack of redundancy forces the use of pseudo-measurements, as a consequence the state estimator solution is deteriorated. Therefore, the redundancy level of the measurement system is an evolving concept that can be used to guide the reinforcement of measurement systems to enhance the efficiency of error detection methods. Topology error results in wrong network configuration of the model used. In this paper, the errors treated are a line that is out of service and still connected to the model, or vice-versa. The method proposed in the paper is aimed at determining redundant and good pseudo-measurement emplacements to enhance reliability of detection and identification of topology error. The basic process was developed earlier by the authors. The algorithm requires one line flow and one power injection by loop. Its effectiveness is related to the low number of redundant measurement and the systematic selection of their location as well as that of pseudo-measurements. Test results are presented. |
| Starting Page | 1494 |
| Ending Page | 1498 |
| File Size | 838412 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780386620 |
| DOI | 10.1109/ICIT.2004.1490785 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-12-08 |
| Publisher Place | Tunisia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Redundancy State estimation Testing Network topology Power system modeling Intelligent networks Engineering management Power system reliability Error correction Error analysis |
| Content Type | Text |
| Resource Type | Article |
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