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001020328 0247_ $$2doi$$a10.1109/PowerTech55446.2023.10202955
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001020328 037__ $$aFZJ-2024-00070
001020328 041__ $$aEnglish
001020328 1001_ $$0P:(DE-Juel1)184450$$aSitzia, Carlo$$b0$$eCorresponding author
001020328 1112_ $$a2023 IEEE Belgrade PowerTech$$cBelgrade$$d2023-06-25 - 2023-06-29$$wSerbia
001020328 245__ $$aDistribution Systems Line Parameter Estimation with Nodal Injection Constraints in Presence of Vehicle-to-Grid
001020328 260__ $$bIEEE$$c2023
001020328 300__ $$a1-6
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001020328 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1704294402_11190
001020328 520__ $$aThis paper presents a line parameter, and systematic instrument transformer errors, estimation technique for modern distribution networks. The method is based on measurements provided by smart meters with synchronized measurements capability. The whole measurement chain is taken into account by realistic measurement assumptions, considering typical accuracies of the measurement devices and instrument transformers installed in modern distribution grids. The proposed framework has been validated on a portion of the digital twin of the Forschungszentrum Jülich campus, in presence of distributed renewable energy sources and vehicle-to-grid technology. The obtained results show that the estimation accuracy is influenced by specific work conditions of the considered distribution system.
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001020328 7001_ $$0P:(DE-Juel1)186779$$aCarta, Daniele$$b1$$ufzj
001020328 7001_ $$0P:(DE-Juel1)179029$$aBenigni, Andrea$$b2$$ufzj
001020328 7001_ $$0P:(DE-HGF)0$$aPegoraro, Paolo Attilio$$b3
001020328 7001_ $$0P:(DE-HGF)0$$aSulis, Sara$$b4
001020328 773__ $$a10.1109/PowerTech55446.2023.10202955
001020328 8564_ $$uhttps://ieeexplore.ieee.org/document/10202955
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001020328 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a University of Cagliari$$b4
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001020328 9141_ $$y2023
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001020328 9201_ $$0I:(DE-Juel1)IEK-10-20170217$$kIEK-10$$lModellierung von Energiesystemen$$x0
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