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WLAV state estimation based topology error detection and identification in distribution networks with limited number of measurements
Date
2024-07-01
Author
Parlaktuna, Kemal
Dursun, Erk
Göl, Murat
Metadata
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Rapidly populating renewable energy sources and storage units at the distribution system, made it crucial to monitor the system in real-time. This necessity brings new challenges and business opportunities for the distribution system operator (DSO). DSO requires situational awareness on the system via several analyses, most of which rely on correct system topology. However, switch statuses of the distribution system may not be telemetered or transferred correctly to the DSO, despite having several switching actions daily. This paper proposes a state estimation based method for distribution systems with limited number of measurements to detect and identify topology error. The method is applicable with both conventional SCADA and/or PMU measurements. Weighted Least Absolute Values (WLAV) state estimator is employed because of its robustness against inaccurate measurements or bad data. The computational performance of the proposed method is comparable with that of the WLAV state estimator, and hence applicable in practical applications.
Subject Keywords
Distribution systems
,
Situational awareness
,
State estimation
,
Topology error detection and identification
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85190446214&origin=inward
https://hdl.handle.net/11511/109276
Journal
Electric Power Systems Research
DOI
https://doi.org/10.1016/j.epsr.2024.110406
Collections
Department of Electrical and Electronics Engineering, Article
Citation Formats
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BibTeX
K. Parlaktuna, E. Dursun, and M. Göl, “WLAV state estimation based topology error detection and identification in distribution networks with limited number of measurements,”
Electric Power Systems Research
, vol. 232, pp. 0–0, 2024, Accessed: 00, 2024. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85190446214&origin=inward.