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Verification and Implementation of Pseudo-Random-Binary-Sequences for Online Determination of Grid Impedance Spectrum
TEWARI, Udit; NESHVAD, Surena; SACHAU, Jürgen
2015In Renewable Energy and Power Quality Journal
Peer reviewed
 

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Keywords :
Pseudo-Random-Binary-Sequence; Pulse Width Modulator; Distribution Network
Abstract :
[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
Disciplines :
Energy
Author, co-author :
TEWARI, Udit 
NESHVAD, Surena ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
SACHAU, Jürgen ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
Verification and Implementation of Pseudo-Random-Binary-Sequences for Online Determination of Grid Impedance Spectrum
Publication date :
25 March 2015
Event name :
International Conference on Renewable Energies and Power Quality (ICREPQ’15)
Event date :
25-27th March 2015
Audience :
International
Journal title :
Renewable Energy and Power Quality Journal
eISSN :
2172-038X
Peer reviewed :
Peer reviewed
Funders :
FNR - Fonds National de la Recherche
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