Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602, He, Y. and Jenkins, Nicholas ORCID: https://orcid.org/0000-0003-3082-6260 2013. A robust state estimator for medium voltage distribution networks. IEEE Transactions on Power Systems 28 (2) , pp. 1008-1016. 10.1109/TPWRS.2012.2215927 |
Abstract
A closed-loop robust distribution state estimator was investigated. An approach that is suitable for medium voltage distribution networks which are either under-determined with limited real-time measurements or over-determined but with delayed information from smart meters was developed. The state estimator was designed to be robust against the effect of measurement errors, the type, location and accuracy of measurements, as well as temporary failure of the smart metering communication system. A machine learning function provides reliable input information to a robust state estimation algorithm. The output of the state estimator is then fed back to the machine learning function creating a closed-loop information flow which improves the performance of the state estimator. Test results and analysis on a 33-node system are provided.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Engineering |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Publisher: | Institute of Electrical and Electronics Engineers |
ISSN: | 0885-8950 |
Last Modified: | 21 Oct 2022 09:52 |
URI: | https://orca.cardiff.ac.uk/id/eprint/38075 |
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