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000910022 0247_ $$2doi$$a10.1109/SEST53650.2022.9898484
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000910022 037__ $$aFZJ-2022-03577
000910022 1001_ $$0P:(DE-Juel1)186779$$aCarta, Daniele$$b0$$eCorresponding author$$ufzj
000910022 1112_ $$a2022 International Conference on Smart Energy Systems and Technologies (SEST)$$cEindhoven$$d2022-09-05 - 2022-09-07$$wNetherlands
000910022 245__ $$aPerformance Assessment of Synchronized Phasor Measurement-Based Parameter Estimation for Distribution Networks
000910022 260__ $$bIEEE$$c2022
000910022 29510 $$a2022 International Conference on Smart Energy Systems and Technologies (SEST) : [Proceedings] - IEEE, 2022. - ISBN 978-1-6654-0557-7 - doi:10.1109/SEST53650.2022.9898484
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000910022 520__ $$aThis paper presents the assessment of an enhanced line parameter estimation technique for modern distribution networks. The estimation method takes advantage of the use of Phasor Measurement Units or, more in general of synchronized phasor measurements. A comprehensive modeling of the uncertainty of synchronized data permits performing an accurate estimation. The validity of the estimation technique has been tested on a portion of the digital twin of the Forschungszentrum Jülich (FZJ) campus, a self-managed distribution network with more than 100 nodes. Realistic measurement assumptions have been considered by taking into account the accuracy of a measurement chain (instrument transformer and measurement device) for distribution networks. Furthermore, the presence of distributed generation has been also taken into account. The results will show that the parameter estimation in these challenging conditions is successful, and the technique can be applied for the analysis of real distribution networks.
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000910022 7001_ $$0P:(DE-Juel1)179029$$aBenigni, Andrea$$b1$$ufzj
000910022 7001_ $$0P:(DE-HGF)0$$aSitzia, Carlo$$b2
000910022 7001_ $$0P:(DE-HGF)0$$aPegoraro, Paolo Attilio$$b3
000910022 7001_ $$0P:(DE-HGF)0$$aSulis, Sara$$b4
000910022 773__ $$a10.1109/SEST53650.2022.9898484
000910022 8564_ $$uhttps://ieeexplore.ieee.org/document/9898484
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000910022 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Unica: University of Cagliari$$b2
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