Reference : Verification and Implementation of Pseudo-Random-Binary-Sequences for Online Determin...
Scientific congresses, symposiums and conference proceedings : Paper published in a journal
Engineering, computing & technology : Energy
http://hdl.handle.net/10993/23881
Verification and Implementation of Pseudo-Random-Binary-Sequences for Online Determination of Grid Impedance Spectrum
English
Tewari, Udit mailto []
Neshvad, Surena mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Sachau, Jürgen mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
25-Mar-2015
The Renewable Energy & Power Quality Journal
Yes
International
2172-038X
Spain
International Conference on Renewable Energies and Power Quality (ICREPQ’15)
25-27th March 2015
[en] Pseudo-Random-Binary-Sequence ; Pulse Width Modulator ; Distribution Network
[en] The number of inverter based distributed power generators connected to the power network has rapidly grown in recent years. The consequence of this phenomenon is an increasingly complex distribution grid, requiring advanced and intelligent monitoring and observation tools in order to guarantee satisfactory power quality and reliability. This paper describes a novel power line impedance estimation method, implementing an innovative technique based on modifications of the Pulse Width Modulator’s pulse pattern on the inverters, in order to generate Pseudo-Random Binary Sequence based pilot signals. The stimuli are generated at different locations in the distribution grid, and detected at the transformer sub-station through cross correlation between the received distorted signal and the sequence, the parameters of the propagation channel can be estimated. Simulations in typical grid situations verify that the proposed algorithm is robust to a realistic environment and would
Fonds National de la Recherche - FnR
Researchers ; Students
http://hdl.handle.net/10993/23881

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