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001020327 0247_ $$2doi$$a10.1109/AMPS59207.2023.10297135
001020327 037__ $$aFZJ-2024-00069
001020327 1001_ $$0P:(DE-HGF)0$$aPegoraro, Paolo Attilio$$b0
001020327 1112_ $$a2023 IEEE 13th International Workshop on Applied Measurements for Power Systems (AMPS)$$cBern$$d2023-09-27 - 2023-09-29$$wSwitzerland
001020327 245__ $$aFault Identification in Three-Phase Distribution Networks Improved by Line Parameter Estimation
001020327 260__ $$bIEEE$$c2023
001020327 300__ $$a1-6
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001020327 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1704352558_23388
001020327 520__ $$aFault detection and location algorithms require grid knowledge to be highly accurate. Possible deviations of actual line parameters with respect to the expected ones can affect the detection and location performance. To reduce fault analysis uncertainty, we propose the application of a simultaneous estimation of line parameters and systematic errors, along with a proper handling of the measurements chain, in a fault detection and location method. The validity of the proposed approach is confirmed by the simulations carried out by means of a Real Time Digital Simulator (RTDS) on the three-phase CIGRE European Medium Voltage distribution network.
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001020327 7001_ $$0P:(DE-HGF)0$$aSulis, Sara$$b1
001020327 7001_ $$0P:(DE-Juel1)184450$$aSitzia, Carlo$$b2$$eCorresponding author
001020327 7001_ $$0P:(DE-Juel1)186779$$aCarta, Daniele$$b3$$ufzj
001020327 7001_ $$0P:(DE-HGF)0$$aSolinas, Antonio Vincenzo$$b4
001020327 7001_ $$0P:(DE-Juel1)179029$$aBenigni, Andrea$$b5$$ufzj
001020327 773__ $$a10.1109/AMPS59207.2023.10297135
001020327 8564_ $$uhttps://ieeexplore.ieee.org/document/10297135
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001020327 9141_ $$y2023
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